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22,950 results on '"Liang, J"'

156. Association between Clinical Frailty Scale score and hospital mortality in adult patients with COVID-19 (COMET): an international, multicentre, retrospective, observational cohort study

Author

Agnoletto, LA, Aleman, J, Andreassi, S, Andrews, LM, Ashfield, L, Bell, H, Bengaard, AKB, Berlinghini, SB, Bini, KB, Bisoffi, ZB, Blum, KB, Boemaars, E, Boni, GB, Bosch, TM, Bosma, BE, Boutkourt, F, Bufarini, C, Bulsink, A, Cabuk, RC, Callens, GC, Candela, MC, Canonici, MC, Capone, EC, Carmo, IC, Caruso, FC, Chessa, PC, Cohet, GC, Cornelissen-Wesseling, I, Crommentuijn, KML, de Stoppelaar, FM, de Wit, HAJM, Deben, DS, Derijks, LJJ, Di Carlo, MDC, Diepstraten, J, Dilek, B, Duchek-Mann, DMK, Ebbens, MM, Ellerbroek, LJ, Ezinga, M, Falcao, MF, Falcao, FF, Fantini, LF, Farinha, HF, Filius, PMG, Fitzhugh, NJ, Fleming, G, Forsthuber, TF, Gambarelli, GG, Gambera, MG, García Yubero, CGY, Getrouw, Z, Ghazarian, CN, Goodfellow, N, Gorgas, MQG, Grinta, RG, Guda, K, Haider, DH, Hanley, J, Heitzeneder, KH, Hemminga, WL, Hendriksen, LC, Hilarius, DL, Hogenhuis, FEF, Hoogendoorn-de Graaf, IC, Houlind, MBH, Huebler, MAH, Hurkens, KPGM, Janssen, PKC, Jong, E, Kappers, MHW, Keijzers, KFM, Kemogni, MK, Kemper, EM, Kranenburg, RA, Krens, LL, Le Grand, JL G, Liang, J, Lim, S, Lindner, NL, Loche, EL, Lubich, AL, Maat, B, Maesano, CM, Maiworm, AM, Maragna, M, Marchesini, FM, Martignoni, IM, Martini, G M, Masini, CM, Mc Menamin, R, Mendes, DM, Miarons, M, Moorlag, R, Müller, MR, Nagele, FN, Nemec, KN, Oka, GO, Otten-Helmers, AG, Pagliarino, SP, Pappalardo, FP, Patel, M, Peverini, PM, Pieraccini, FP, Platania, EMP, Pons-Kerjean, NPK, Portillo Horcajada, LPH, Rametta, GR, Rijo, JR, Roelofsen, EE, Roobol-Meuwese, E, Rossi, LR, Russel, SAH, Safipour, Z, Salaffi, FS, Saleh, L, Schimizzi, AMS, Schols, JMGA, Schwap, MS, Scott, MG, Slijfer, EAM, Slob, EMA, Soares, JS, Solano, MS, Sombogaard, F, Stemer, GS, Tardella, MT, ter Horst, PGJ, Tessari, RT, Tournoy, J, van den Berg, RB, Van der Linden, L, van der Linden, PD, van Dijk, SC, Van Etten, RW, van Haelst, IMM, van Heuckelum, M, van Kan, HJM, van Nieuwkoop, C, van Onzenoort, HAW, van Wijngaarden, P, Verdonk, JDJ, Verri, Fv, Verstijnen, JAMC, Veyrier, MV, Viegas, EV, Visser, LE, Vos, A, Vromen, MAM, Wierenga, PC, Wong, DR, Zenico, CZ, Zuppini, TZ, Sablerolles, Roos S G, Lafeber, Melvin, van Kempen, Janneke A L, van de Loo, Bob P A, Boersma, Eric, Rietdijk, Wim J R, Polinder-Bos, Harmke A, Mooijaart, Simon P, van der Kuy, Hugo, Versmissen, Jorie, and Faes, Miriam C

Published
2021
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158. Thermal conductivities of phosphorene allotropes from first-principle calculations: a comparative study

Author

Zhang, J., Liu, H. J., Cheng, L., Wei, J., Liang, J. H., Fan, D. D., Jiang, P. H., and Shi, J.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

Phosphorene has attracted tremendous interest recently due to its intriguing electronic properties. However, the thermal transport properties of phosphorene, especially for its allotropes, are still not well-understood. In this work, we calculate the thermal conductivities of five phosphorene allotropes ({\alpha}-, \b{eta}-, {\gamma}-, {\delta}- and {\zeta}-phase) by using phonon Boltzmann transport theory combined with first-principles calculations. It is found that the {\alpha}-phosphorene exhibits considerable anisotropic thermal transport, while it is less obvious in the other four phosphorene allotropes. The highest thermal conductivity is found in the \b{eta}-phosphorene, followed by {\delta}-, {\gamma}- and {\zeta}-phase. The much lower thermal conductivity of the {\zeta}-phase can be attributed to its relatively complex atomic configuration. It is expected that the rich thermal transport properties of phosphorene allotropes can have potential applications in the thermoelectrics and thermal management.

Published
2016

159. Study of $D^{+} \to K^{-} \pi^+ e^+ \nu_e$

Author

Ablikim, M., Achasov, M. N., Ai, X. C., Albayrak, O., Albrecht, M., Ambrose, D. J., Amoroso, A., An, F. F., An, Q., Bai, J. Z., Ferroli, R. Baldini, Ban, Y., Bennett, D. W., Bennett, J. V., Bertani, M., Bettoni, D., Bian, J. M., Bianchi, F., Boger, E., Boyko, I., Briere, R. A., Cai, H., Cai, X., Cakir, O., Calcaterra, A., Cao, G. F., Cetin, S. A., Chang, J. F., Chelkov, G., Chen, G., Chen, H. S., Chen, H. Y., Chen, J. C., Chen, M. L., Chen, S. Chen, Chen, S. J., Chen, X., Chen, X. R., Chen, Y. B., Cheng, H. P., Chu, X. K., Cibinetto, G., Dai, H. L., Dai, J. P., Dbeyssi, A., Dedovich, D., Deng, Z. Y., Denig, A., Denysenko, I., Destefanis, M., De Mori, F., Ding, Y., Dong, C., Dong, J., Dong, L. Y., Dong, M. Y., Du, S. X., Duan, P. F., Fan, J. Z., Fang, J., Fang, S. S., Fang, X., Fang, Y., Fava, L., Feldbauer, F., Felici, G., Feng, C. Q., Fioravanti, E., Fritsch, M., Fu, C. D., Gao, Q., Gao, X. L., Gao, X. Y., Gao, Y., Gao, Z., Garzia, I., Goetzen, K., Gong, W. X., Gradl, W., Greco, M., Gu, M. H., Gu, Y. T., Guan, Y. H., Guo, A. Q., Guo, L. B., Guo, R. P., Guo, Y., Guo, Y. P., Haddadi, Z., Hafner, A., Han, S., Hao, X. Q., Harris, F. A., He, K. L., He, X. Q., Held, T., Heng, Y. K., Hou, Z. L., Hu, C., Hu, H. M., Hu, J. F., Hu, T., Hu, Y., Huang, G. M., Huang, G. S., Huang, J. S., Huang, X. T., Huang, Y., Hussain, T., Ji, Q., Ji, Q. P., Ji, X. B., Ji, X. L., Jiang, L. W., Jiang, X. S., Jiang, X. Y., Jiao, J. B., Jiao, Z., Jin, D. P., Jin, S., Johansson, T., Julin, A., Kalantar-Nayestanaki, N., Kang, X. L., Kang, X. S., Kavatsyuk, M., Ke, B. C., Kiese, P., Kliemt, R., Kloss, B., Kolcu, O. B., Kopf, B., Kornicer, M., Kuehn, W., Kupsc, A., Lange, J. S., Lara, M., Larin, P., Leng, C., Li, C., Li, Cheng, Li, D. M., Li, F., Li, F. Y., Li, G., Li, H. B., Li, H. J., Li, J. C., Li, Jin, Li, K., Li, Lei, Li, P. R., Li, T., Li, W. D., Li, W. G., Li, X. L., Li, X. M., Li, X. N., Li, X. Q., Li, Z. B., Liang, H., Liang, J. J., Liang, Y. F., Liang, Y. T., Liao, G. R., Lin, D. X., Liu, B. J., Liu, C. X., Liu, D., Liu, F. H., Liu, Fang, Liu, Feng, Liu, H. B., Liu, H. H., Liu, H. M., Liu, J., Liu, J. B., Liu, J. P., Liu, J. Y., Liu, K., Liu, K. Y., Liu, L. D., Liu, P. L., Liu, Q., Liu, S. B., Liu, X., Liu, Y. B., Liu, Z. A., Liu, Zhiqing, Loehner, H., Lou, X. C., Lu, H. J., Lu, J. G., Lu, Y., Lu, Y. P., Luo, C. L., Luo, M. X., Luo, T., Luo, X. L., Lyu, X. R., Ma, F. C., Ma, H. L., Ma, L. L., Ma, M. M., Ma, Q. M., Ma, T., Ma, X. N., Ma, X. Y., Maas, F. E., Maggiora, M., Mao, Y. J., Mao, Z. P., Marcello, S., Messchendorp, J. G., Min, J., Mitchell, R. E., Mo, X. H., Mo, Y. J., Morales, C. Morales, Moriya, K., Muchnoi, N. Yu., Muramatsu, H., Nefedov, Y., Nerling, F., Nikolaev, I. B., Ning, Z., Nisar, S., Niu, S. L., Niu, X. Y., Olsen, S. L., Ouyang, Q., Pacetti, S., Pan, Y., Patteri, P., Pelizaeus, M., Peng, H. P., Peters, K., Pettersson, J., Ping, J. L., Ping, R. G., Poling, R., Prasad, V., Qi, M., Qian, S., Qiao, C. F., Qin, L. Q., Qin, N., Qin, X. S., Qin, Z. H., Qiu, J. F., Rashid, K. H., Redmer, C. F., Ripka, M., Rong, G., Rosner, Ch., Ruan, X. D., Santoro, V., Sarantsev, A., Savrié, M., Schoenning, K., Schumann, S., Shan, W., Shao, M., Shen, C. P., Shen, P. X., Shen, X. Y., Sheng, H. Y., Shi, M., Song, W. M., Song, X. Y., Sosio, S., Spataro, S., Sun, G. X., Sun, J. F., Sun, S. S., Sun, X. H., Sun, Y. J., Sun, Y. Z., Sun, Z. J., Sun, Z. T., Tang, C. J., Tang, X., Tapan, I., Thorndike, E. H., Tiemens, M., Ullrich, M., Uman, I., Varner, G. S., Wang, B., Wang, D., Wang, D. Y., Wang, K., Wang, L. L., Wang, L. S., Wang, M., Wang, P., Wang, P. L., Wang, S. G., Wang, W., Wang, W. P., Wang, X. F., Wang, Y. D., Wang, Y. F., Wang, Y. Q., Wang, Z., Wang, Z. G., Wang, Z. H., Wang, Z. Y., Weber, T., Wei, D. H., Wei, J. B., Weidenkaff, P., Wen, S. P., Wiedner, U., Wolke, M., Wu, L. H., Wu, L. J., Wu, Z., Xia, L., Xia, L. G., Xia, Y., Xiao, D., Xiao, H., Xiao, Z. J., Xie, Y. G., Xiu, Q. L., Xu, G. F., Xu, J. J., Xu, L., Xu, Q. J., Xu, X. P., Yan, L., Yan, W. B., Yan, W. C., Yan, Y. H., Yang, H. J., Yang, H. X., Yang, L., Yang, Y., Yang, Y. X., Ye, M., Ye, M. H., Yin, J. H., Yu, B. X., Yu, C. X., Yu, J. S., Yuan, C. Z., Yuan, W. L., Yuan, Y., Yuncu, A., Zafar, A. A., Zallo, A., Zeng, Y., Zeng, Z., Zhang, B. X., Zhang, B. Y., Zhang, C., Zhang, C. C., Zhang, D. H., Zhang, H. H., Zhang, H. Y., Zhang, J., Zhang, J. J., Zhang, J. L., Zhang, J. Q., Zhang, J. W., Zhang, J. Y., Zhang, J. Z., Zhang, K., Zhang, L., Zhang, X. Y., Zhang, Y., Zhang, Y. N., Zhang, Y. H., Zhang, Y. T., Zhang, Yu, Zhang, Z. H., Zhang, Z. P., Zhang, Z. Y., Zhao, G., Zhao, J. W., Zhao, J. Y., Zhao, J. Z., Zhao, Lei, Zhao, Ling, Zhao, M. G., Zhao, Q., Zhao, Q. W., Zhao, S. J., Zhao, T. C., Zhao, Y. B., Zhao, Z. G., Zhemchugov, A., Zheng, B., Zheng, J. P., Zheng, W. J., Zheng, Y. H., Zhong, B., Zhou, L., Zhou, X., Zhou, X. K., Zhou, X. R., Zhou, X. Y., Zhu, K., Zhu, K. J., Zhu, S., Zhu, S. H., Zhu, X. L., Zhu, Y. C., Zhu, Y. S., Zhu, Z. A., Zhuang, J., Zotti, L., Zou, B. S., and Zou, J. H.

Subjects
High Energy Physics - Experiment
Abstract

We present an analysis of the decay $D^{+} \to K^{-} \pi^+ e^+ \nu_e$ based on data collected by the BESIII experiment at the $\psi(3770)$ resonance. Using a nearly background-free sample of 18262 events, we measure the branching fraction $\mathcal{B}(D^{+} \to K^{-} \pi^+ e^+ \nu_e) = (3.71 \pm 0.03 \pm 0.08)\%$. For $0.8

Published
2015
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160. Observation of the Singly Cabibbo-Suppressed Decay $D^{+}\to\omega\pi^{+}$ and Evidence for $D^{0}\to\omega\pi^{0}$

Author

BESIII Collaboration, Ablikim, M., Achasov, M. N., Ai, X. C., Albayrak, O., Albrecht, M., Ambrose, D. J., Amoroso, A., An, F. F., An, Q., Bai, J. Z., Ferroli, R. Baldini, Ban, Y., Bennett, D. W., Bennett, J. V., Bertani, M., Bettoni, D., Bian, J. M., Bianchi, F., Boger, E., Boyko, I., Briere, R. A., Cai, H., Cai, X., Cakir, O., Calcaterra, A., Cao, G. F., Cetin, S. A., Chang, J. F., Chelkov, G., Chen, G., Chen, H. S., Chen, H. Y., Chen, J. C., Chen, M. L., Chen, S., Chen, S. J., Chen, X., Chen, X. R., Chen, Y. B., Cheng, H. P., Chu, X. K., Cibinetto, G., Dai, H. L., Dai, J. P., Dbeyssi, A., Dedovich, D., Deng, Z. Y., Denig, A., Denysenko, I., Destefanis, M., DeMori, F., Ding, Y., Dong, C., Dong, J., Dong, L. Y., Dong, M. Y., Dou, Z. L., Du, S. X., Duan, P. F., Fan, J. Z., Fang, J., Fang, S. S., Fang, X., Fang, Y., Fava, L., Feldbauer, F., Felici, G., Feng, C. Q., Fioravanti, E., Fritsch, M., Fu, C. D., Gao, Q., Gao, X. L., Gao, X. Y., Gao, Y., Gao, Z., Garzia, I., Goetzen, K., Gong, W. X., Gradl, W., Greco, M., Gu, M. H., Gu, Y. T., Guan, Y. H., Guo, A. Q., Guo, L. B., Guo, R. P., Guo, Y., Guo, Y. P., Haddadi, Z., Hafner, A., Han, S., Harris, F. A., He, K. L., Held, T., Heng, Y. K., Hou, Z. L., Hu, C., Hu, H. M., Hu, J. F., Hu, T., Hu, Y., Huang, G. M., Huang, G. S., Huang, J. S., Huang, X. T., Huang, X. Z., Huang, Y., Hussain, T., Ji, Q., Ji, Q. P., Ji, X. B., Ji, X. L., Jiang, L. W., Jiang, X. S., Jiang, X. Y., Jiao, J. B., Jiao, Z., Jin, D. P., Jin, S., Johansson, T., Julin, A., Kalantar-Nayestanaki, N., Kang, X. L., Kang, X. S., Kavatsyuk, M., Ke, B. C., Kiese, P., Kliemt, R., Kloss, B., Kolcu, O. B., Kopf, B., Kornicer, M., Kuehn, W., Kupsc, A., Lange, J. S., Lara, M., Larin, P., Leng, C., Li, C., Li, Cheng, Li, D. M., Li, F., Li, F. Y., Li, G., Li, H. B., Li, H. J., Li, J. C., Li, Jin, Li, K., Li, Lei, Li, P. R., Li, T., Li, W. D., Li, W. G., Li, X. L., Li, X. M., Li, X. N., Li, X. Q., Li, Z. B., Liang, H., Liang, J. J., Liang, Y. F., Liang, Y. T., Liao, G. R., Lin, D. X., Liu, B. J., Liu, C. X., Liu, D., Liu, F. H., Liu, Fang, Liu, Feng, Liu, H. B., Liu, H. H., Liu, H. M., Liu, J., Liu, J. B., Liu, J. P., Liu, J. Y., Liu, K., Liu, K. Y., Liu, L. D., Liu, P. L., Liu, Q., Liu, S. B., Liu, X., Liu, Y. B., Liu, Z. A., Liu, Zhiqing, Loehner, H., Lou, X. C., Lu, H. J., Lu, J. G., Lu, Y., Lu, Y. P., Luo, C. L., Luo, M. X., Luo, T., Luo, X. L., Lyu, X. R., Ma, F. C., Ma, H. L., Ma, L. L., Ma, M. M., Ma, Q. M., Ma, T., Ma, X. N., Ma, X. Y., Maas, F. E., Maggiora, M., Mao, Y. J., Mao, Z. P., Marcello, S., Messchendorp, J. G., Min, J., Mitchell, R. E., Mo, X. H., Mo, Y. J., Morales, C. Morales, Moriya, K., Muchnoi, N. Yu., Muramatsu, H., Nefedov, Y., Nerling, F., Nikolaev, I. B., Ning, Z., Nisar, S., Niu, S. L., Niu, X. Y., Olsen, S. L., Ouyang, Q., Pacetti, S., Pan, Y., Patteri, P., Pelizaeus, M., Peng, H. P., Peters, K., Pettersson, J., Ping, J. L., Ping, R. G., Poling, R., Prasad, V., Qi, M., Qian, S., Qiao, C. F., Qin, L. Q., Qin, N., Qin, X. S., Qin, Z. H., Qiu, J. F., Rashid, K. H., Redmer, C. F., Ripka, M., Rong, G., Rosner, Ch., Ruan, X. D., Sarantsev, A., Savrié, M., Schoenning, K., Schumann, S., Shan, W., Shao, M., Shen, C. P., Shen, P. X., Shen, X. Y., Sheng, H. Y., Shi, M., Song, W. M., Song, X. Y., Sosio, S., Spataro, S., Sun, G. X., Sun, J. F., Sun, S. S., Sun, X. H., Sun, Y. J., Sun, Y. Z., Sun, Z. J., Sun, Z. T., Tang, C. J., Tang, X., Tapan, I., Thorndike, E. H., Tiemens, M., Ullrich, M., Uman, I., Varner, G. S., Wang, B., Wang, B. L., Wang, D., Wang, D. Y., Wang, K., Wang, L. L., Wang, L. S., Wang, M., Wang, P., Wang, P. L., Wang, S. G., Wang, W., Wang, W. P., Wang, X. F., Wang, Y., Wang, Y. D., Wang, Y. F., Wang, Y. Q., Wang, Z., Wang, Z. G., Wang, Z. H., Wang, Z. Y., Weber, T., Wei, D. H., Wei, J. B., Weidenkaff, P., Wen, S. P., Wiedner, U., Wolke, M., Wu, L. H., Wu, L. J., Wu, Z., Xia, L., Xia, L. G., Xia, Y., Xiao, D., Xiao, H., Xiao, Z. J., Xie, Y. G., Xiu, Q. L., Xu, G. F., Xu, J. J., Xu, L., Xu, Q. J., Xu, X. P., Yan, L., Yan, W. B., Yan, W. C., Yan, Y. H., Yang, H. J., Yang, H. X., Yang, L., Yang, Y., Yang, Y. Y., Ye, M., Ye, M. H., Yin, J. H., Yu, B. X., Yu, C. X., Yu, J. S., Yuan, C. Z., Yuan, W. L., Yuan, Y., Yuncu, A., Zafar, A. A., Zallo, A., Zeng, Y., Zeng, Z., Zhang, B. X., Zhang, B. Y., Zhang, C., Zhang, C. C., Zhang, D. H., Zhang, H. H., Zhang, H. Y., Zhang, J., Zhang, J. J., Zhang, J. L., Zhang, J. Q., Zhang, J. W., Zhang, J. Y., Zhang, J. Z., Zhang, K., Zhang, L., Zhang, X. Y., Zhang, Y., Zhang, Y. H., Zhang, Y. N., Zhang, Y. T., Zhang, Yu, Zhang, Z. H., Zhang, Z. P., Zhang, Z. Y., Zhao, G., Zhao, J. W., Zhao, J. Y., Zhao, J. Z., Zhao, Lei, Zhao, Ling, Zhao, M. G., Zhao, Q., Zhao, Q. W., Zhao, S. J., Zhao, T. C., Zhao, Y. B., Zhao, Z. G., Zhemchugov, A., Zheng, B., Zheng, J. P., Zheng, W. J., Zheng, Y. H., Zhong, B., Zhou, L., Zhou, X., Zhou, X. K., Zhou, X. R., Zhou, X. Y., Zhu, K., Zhu, K. J., Zhu, S., Zhu, S. H., Zhu, X. L., Zhu, Y. C., Zhu, Y. S., Zhu, Z. A., Zhuang, J., Zotti, L., Zou, B. S., and Zou, J. H.

Subjects
High Energy Physics - Experiment
Abstract

Based on 2.93 fb$^{-1}$ $e^+e^-$ collision data taken at center-of-mass energy of 3.773 GeV by the BESIII detector, we report searches for the singly Cabibbo-suppressed decays $D^{+}\to\omega\pi^{+}$ and $D^{0}\to\omega\pi^{0}$. A double tag technique is used to measure the absolute branching fractions $\mathcal{B}(D^{+}\to\omega\pi^{+})=(2.79\pm0.57\pm0.16)\times 10^{-4}$ and $\mathcal{B}(D^{0}\to\omega\pi^{0})=(1.17\pm0.34\pm0.07)\times 10^{-4}$, with statistical significances of $5.5\sigma$ and $4.1\sigma$, respectively. We also present measurements of the absolute branching fractions for the related $\eta \pi$ decay modes. We find $\mathcal{B}(D^{+}\to\eta\pi^{+})=(3.07\pm0.22\pm0.13)\times10^{-3}$ and $\mathcal{B}(D^{0}\to\eta\pi^{0})=(0.65\pm0.09\pm0.04)\times10^{-3}$, which are consistent with the current world averages. The first and second uncertainties are statistical and systematic, respectively.

Published
2015
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161. High thermoelectric performance of distorted Bismuth (110) layer

Author

Cheng, L., Liu, H. J., Zhang, J., Wei, J., Liang, J. H., Jiang, P. H., Fan, D. D., Sun, L., and Shi, J.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

The thermoelectric properties of distorted bismuth (110) layer are investigated using first-principles calculations combined with the Boltzmann transport equation for both electrons and phonons. To accurately predict the electronic and transport properties, the quasiparticle corrections with the GW approximation of many-body effects have been explicitly included. It is found that a maximum ZT value of 6.4 can be achieved for n-type system, which is essentially stemmed from the weak scattering of electrons. Moreover, we demonstrate that the distorted Bi layer remains high ZT values at relatively broad regions of both temperature and carrier concentration. Our theoretical work emphasizes that the deformation potential constant characterizing the electron-phonon scattering strength is an important paradigm for searching high thermoelectric performance materials., Comment: Physical Chemistry Chemical Physics, 2016

Published
2015
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162. JUNO Conceptual Design Report

Author

Adam, T., An, F., An, G., An, Q., Anfimov, N., Antonelli, V., Baccolo, G., Baldoncini, M., Baussan, E., Bellato, M., Bezrukov, L., Bick, D., Blyth, S., Boarin, S., Brigatti, A., Brugière, T., Brugnera, R., Avanzini, M. Buizza, Busto, J., Cabrera, A., Cai, H., Cai, X., Cammi, A., Cao, D., Cao, G., Cao, J., Chang, J., Chang, Y., Chen, M., Chen, P., Chen, Q., Chen, S., Chen, X., Chen, Y., Cheng, Y., Chiesa, D., Chukanov, A., Clemenza, M., Clerbaux, B., D'Angelo, D., de Kerret, H., Deng, Z., Ding, X., Ding, Y., Djurcic, Z., Dmitrievsky, S., Dolgareva, M., Dornic, D., Doroshkevich, E., Dracos, M., Drapier, O., Dusini, S., Díaz, M. A., Enqvist, T., Fan, D., Fang, C., Fang, J., Fang, X., Favart, L., Fedoseev, D., Fiorentini, G., Ford, R., Formozov, A., Gaigher, R., Gan, H., Garfagnini, A., Gaudiot, G., Genster, C., Giammarchi, M., Giuliani, F., Gonchar, M., Gong, G., Gong, H., Gonin, M., Gornushkin, Y., Grassi, M., Grewing, C., Gromov, V., Gu, M., Guan, M., Guarino, V., Guo, W., Guo, X., Guo, Y., Göger-Neff, M., Hackspacher, P., Hagner, C., Han, R., Han, Z., Hao, J., He, M., Hellgartner, D., Heng, Y., Hong, D., Hou, S., Hsiung, Y., Hu, B., Hu, J., Hu, S., Hu, T., Hu, W., Huang, H., Huang, X., Huo, L., Huo, W., Ioannisian, A., Ioannisyan, D., Jeitler, M., Jen, K., Jetter, S., Ji, X., Jian, S., Jiang, D., Jiang, X., Jollet, C., Kaiser, M., Kan, B., Kang, L., Karagounis, M., Kazarian, N., Kettell, S., Korablev, D., Krasnoperov, A., Krokhaleva, S., Krumshteyn, Z., Kruth, A., Kuusiniemi, P., Lachenmaier, T., Lei, L., Lei, R., Lei, X., Leitner, R., Lenz, F., Li, C., Li, F., Li, J., Li, N., Li, S., Li, T., Li, W., Li, X., Li, Y., Li, Z., Liang, H., Liang, J., Licciardi, M., Lin, G., Lin, S., Lin, T., Lin, Y., Lippi, I., Liu, G., Liu, H., Liu, J., Liu, Q., Liu, S., Liu, Y., Lombardi, P., Long, Y., Lorenz, S., Lu, C., Lu, F., Lu, H., Lu, J., Lubsandorzhiev, B., Lubsandorzhiev, S., Ludhova, L., Luo, F., Luo, S., Lv, Z., Lyashuk, V., Ma, Q., Ma, S., Ma, X., Malyshkin, Y., Mantovani, F., Mao, Y., Mari, S., Mayilyan, D., McDonough, W., Meng, G., Meregaglia, A., Meroni, E., Mezzetto, M., Min, J., Miramonti, L., Montuschi, M., Morozov, N., Mueller, T., Muralidharan, P., Nastasi, M., Naumov, D., Naumova, E., Nemchenok, I., Ning, Z., Nunokawa, H., Oberauer, L., Ochoa-Ricoux, J. P., Olshevskiy, A., Ortica, F., Pan, H., Paoloni, A., Parkalian, N., Parmeggiano, S., Pec, V., Pelliccia, N., Peng, H., Poussot, P., Pozzi, S., Previtali, E., Prummer, S., Qi, F., Qi, M., Qian, S., Qian, X., Qiao, H., Qin, Z., Ranucci, G., Re, A., Ren, B., Ren, J., Rezinko, T., Ricci, B., Robens, M., Romani, A., Roskovec, B., Ruan, X., Rybnikov, A., Sadovsky, A., Saggese, P., Salamanna, G., Sawatzki, J., Schuler, J., Selyunin, A., Shi, G., Shi, J., Shi, Y., Sinev, V., Sirignano, C., Sisti, M., Smirnov, O., Soiron, M., Stahl, A., Stanco, L., Steinmann, J., Strati, V., Sun, G., Sun, X., Sun, Y., Taichenachev, D., Tang, J., Tietzsch, A., Tkachev, I., Trzaska, W. H., Tung, Y., van Waasen, S., Volpe, C., Vorobel, V., Votano, L., Wang, C., Wang, G., Wang, H., Wang, M., Wang, R., Wang, S., Wang, W., Wang, Y., Wang, Z., Wei, W., Wei, Y., Weifels, M., Wen, L., Wen, Y., Wiebusch, C., Wipperfurth, S., Wong, S. C., Wonsak, B., Wu, C., Wu, Q., Wu, Z., Wurm, M., Wurtz, J., Xi, Y., Xia, D., Xia, J., Xiao, M., Xie, Y., Xu, J., Xu, L., Xu, Y., Yan, B., Yan, X., Yang, C., Yang, H., Yang, L., Yang, M., Yang, Y., Yanovich, E., Yao, Y., Ye, M., Ye, X., Yegin, U., Yermia, F., You, Z., Yu, B., Yu, C., Yu, G., Yu, Z., Yuan, Y., Yuan, Z., Zanetti, M., Zeng, P., Zeng, S., Zeng, T., Zhan, L., Zhang, C., Zhang, F., Zhang, G., Zhang, H., Zhang, J., Zhang, K., Zhang, P., Zhang, Q., Zhang, T., Zhang, X., Zhang, Y., Zhang, Z., Zhao, J., Zhao, M., Zhao, T., Zhao, Y., Zheng, H., Zheng, M., Zheng, X., Zheng, Y., Zhong, W., Zhou, G., Zhou, J., Zhou, L., Zhou, N., Zhou, R., Zhou, S., Zhou, W., Zhou, X., Zhou, Y., Zhu, H., Zhu, K., Zhuang, H., Zong, L., and Zou, J.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is proposed to determine the neutrino mass hierarchy using an underground liquid scintillator detector. It is located 53 km away from both Yangjiang and Taishan Nuclear Power Plants in Guangdong, China. The experimental hall, spanning more than 50 meters, is under a granite mountain of over 700 m overburden. Within six years of running, the detection of reactor antineutrinos can resolve the neutrino mass hierarchy at a confidence level of 3-4$\sigma$, and determine neutrino oscillation parameters $\sin^2\theta_{12}$, $\Delta m^2_{21}$, and $|\Delta m^2_{ee}|$ to an accuracy of better than 1%. The JUNO detector can be also used to study terrestrial and extra-terrestrial neutrinos and new physics beyond the Standard Model. The central detector contains 20,000 tons liquid scintillator with an acrylic sphere of 35 m in diameter. $\sim$17,000 508-mm diameter PMTs with high quantum efficiency provide $\sim$75% optical coverage. The current choice of the liquid scintillator is: linear alkyl benzene (LAB) as the solvent, plus PPO as the scintillation fluor and a wavelength-shifter (Bis-MSB). The number of detected photoelectrons per MeV is larger than 1,100 and the energy resolution is expected to be 3% at 1 MeV. The calibration system is designed to deploy multiple sources to cover the entire energy range of reactor antineutrinos, and to achieve a full-volume position coverage inside the detector. The veto system is used for muon detection, muon induced background study and reduction. It consists of a Water Cherenkov detector and a Top Tracker system. The readout system, the detector control system and the offline system insure efficient and stable data acquisition and processing., Comment: 328 pages, 211 figures

Published
2015

163. High thermoelectric performance can be achieved in black phosphorus

Author

Zhang, J., Liu, H. J., Cheng, L., Wei, J., Liang, J. H., Fan, D. D., Jiang, P. H., Sun, L., and Shi, J.

Subjects
Condensed Matter - Materials Science
Abstract

Few-layer black phosphorus has recently emerged as a promising candidate for novel electronic and optoelectronic device. Here we demonstrate by first-principles calculations and Boltzmann theory that, black phosphorus could also have potential thermoelectric applications and a fair ZT value of 1.1 can be achieved at elevated temperature. Moreover, such value can be further increased to 5.4 by substituting P atom with Sb atom, giving nominal formula of P0.75Sb0.25. Our theoretical work suggests that high thermoelectric performance can be achieved without using complicated crystal structure or seeking for low-dimensional systems.

Published
2015
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164. Recent direct reaction experimental studies with radioactive tin beams

Author

Jones, K. L., Ahn, S., Allmond, J. M., Ayres, A., Bardayan, D. W., Baugher, T., Bazin, D., Berryman, J. S., Bey, A., Bingham, C., Cartegni, L., Cerizza, G., Chae, K. Y., Cizewski, J. A., Gade, A., Galindo-Uribarri, A., Garcia-Ruiz, R. F., Grzywacz, R., Howard, M. E., Kozub, R. L., Liang, J. F., Manning, B., Matos, M., McDaniel, S., Miller, D., Nesaraja, C. D., O'Malley, P. D., Padgett, S., Padilla-Rodal, E., Pain, S. D., Pittman, S. T., Radford, D. C., Ratkiewicz, A., Schmitt, K. T., Shore, A., Smith, M. S., Stracener, D. W., Stroberg, S. R., Tostevin, J., Varner, R. L., Weisshaar, D., Wimmer, K., and Winkler, R.

Subjects
Nuclear Experiment
Abstract

Direct reaction techniques are powerful tools to study the single-particle nature of nuclei. Performing direct reactions on short-lived nuclei requires radioactive ion beams produced either via fragmentation or the Isotope Separation OnLine (ISOL) method. Some of the most interesting regions to study with direct reactions are close to the magic numbers where changes in shell structure can be tracked. These changes can impact the final abundances of explosive nucleosynthesis. The structure of the chain of tin isotopes is strongly influenced by the Z=50 proton shell closure, as well as the neutron shell closures lying in the neutron-rich, N=82, and neutron-deficient, N=50, regions. Here we present two examples of direct reactions on exotic tin isotopes. The first uses a one-neutron transfer reaction and a low-energy reaccelerated ISOL beam to study states in 131Sn from across the N=82 shell closure. The second example utilizes a one-neutron knockout reaction on fragmentation beams of neutron-deficient 106,108Sn. In both cases, measurements of gamma rays in coincidence with charged particles proved to be invaluable., Comment: 11 pages, 5 figures, Zakopane Conference on Nuclear Physics "Extremes of the Nuclear Landscape", Zakopane, Poland, August 31 - September 7, 2014

Published
2015
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165. Tuning the carrier concentration to improve the thermoelectric performance of CuInTe2 compound

Author

Wei, J., Liu, H. J., Cheng, L., Zhang, J., Liang, J. H., Jiang, P. H., Fan, D. D., and Shi, J.

Subjects
Condensed Matter - Materials Science
Abstract

The electronic and transport properties of CuInTe2 chalcopyrite are investigated using density functional calculations combined with Boltzmann theory. The band gap predicted from hybrid functional is 0.92 eV, which agrees well with experimental data and leads to relatively larger Seebeck coefficient compared with those of narrow-gap thermoelectric materials. By fine tuning the carrier concentration, the electrical conductivity and power factor of the system can be significantly optimized. Together with the inherent low thermal conductivity, the ZT values of CuInTe2 compound can be enhanced to as high as 1.72 at 850 K, which is obviously larger than those measured experimentally and suggests there is still room to improve the thermoelectric performance of this chalcopyrite compound.

Published
2015
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166. The Detector System of The Daya Bay Reactor Neutrino Experiment

Author

An, F. P., Bai, J. Z., Balantekin, A. B., Band, H. R., Beavis, D., Beriguete, W., Bishai, M., Blyth, S., Brown, R. L., Butorov, I., Cao, D., Cao, G. F., Cao, J., Carr, R., Cen, W. R., Chan, W. T., Chan, Y. L., Chang, J. F., Chang, L. C., Chang, Y., Chasman, C., Chen, H. Y., Chen, H. S., Chen, M. J., Chen, Q. Y., Chen, S. J., Chen, S. M., Chen, X. C., Chen, X. H., Chen, X. S., Chen, Y. X., Chen, Y., Cheng, J. H., Cheng, J., Cheng, Y. P., Cherwinka, J. J., Chidzik, S., Chow, K., Chu, M. C., Cummings, J. P., de Arcos, J., Deng, Z. Y., Ding, X. F., Ding, Y. Y., Diwan, M. V., Dong, L., Dove, J., Draeger, E., Du, X. F., Dwyer, D. A., Edwards, W. R., Ely, S. R., Fang, S. D., Fu, J. Y., Fu, Z. W., Ge, L. Q., Ghazikhanian, V., Gill, R., Goett, J., Gonchar, M., Gong, G. H., Gong, H., Gornushkin, Y. A., Grassi, M., Greenler, L. S., Gu, W. Q., Guan, M. Y., Guo, R. P., Guo, X. H., Hackenburg, R. W., Hahn, R. L., Han, R., Hans, S., He, M., He, Q., He, W. S., Heeger, K. M., Heng, Y. K., Higuera, A., Hinrichs, P., Ho, T. H., Hoff, M., Hor, Y. K., Hsiung, Y. B., Hu, B. Z., Hu, L. M., Hu, L. J., Hu, T., Hu, W., Huang, E. C., Huang, H. Z., Huang, H. X., Huang, P. W., Huang, X., Huang, X. T., Huber, P., Hussain, G., Isvan, Z., Jaffe, D. E., Jaffke, P., Jen, K. L., Jetter, S., Ji, X. P., Ji, X. L., Jiang, H. J., Jiang, W. Q., Jiao, J. B., Johnson, R. A., Joseph, J., Kang, L., Kettell, S. H., Kohn, S., Kramer, M., Kwan, K. K., Kwok, M. W., Kwok, T., Lai, C. Y., Lai, W. C., Lai, W. H., Langford, T. J., Lau, K., Lebanowski, L., Lee, J., Lee, M. K. P., Lei, R. T., Leitner, R., Leung, J. K. C., Leung, K. Y., Lewis, C. A., Li, B., Li, C., Li, D. J., Li, F., Li, G. S., Li, J., Li, N. Y., Li, Q. J., Li, S. F., Li, S. C., Li, W. D., Li, X. B., Li, X. N., Li, X. Q., Li, Y., Li, Y. F., Li, Z. B., Liang, H., Liang, J., Lin, C. J., Lin, G. L., Lin, P. Y., Lin, S. X., Lin, S. K., Lin, Y. C., Ling, J. J., Link, J. M., Littenberg, L., Littlejohn, B. R., Liu, B. J., Liu, C., Liu, D. W., Liu, H., Liu, J. L., Liu, J. C., Liu, S., Liu, S. S., Liu, X., Liu, Y. B., Lu, C., Lu, H. Q., Lu, J. S., Luk, A., Luk, K. B., Luo, T., Luo, X. L., Ma, L. H., Ma, Q. M., Ma, X. Y., Ma, X. B., Ma, Y. Q., Mayes, B., McDonald, K. T., McFarlane, M. C., McKeown, R. D., Meng, Y., Mitchell, I., Mohapatra, D., Kebwaro, J. Monari, Morgan, J. E., Nakajima, Y., Napolitano, J., Naumov, D., Naumova, E., Newsom, C., Ngai, H. Y., Ngai, W. K., Nie, Y. B., Ning, Z., Ochoa-Ricoux, J. P., Olshevskiy, A., Pagac, A., Pan, H. -R., Patton, S., Pearson, C., Pec, V., Peng, J. C., Piilonen, L. E., Pinsky, L., Pun, C. S. J., Qi, F. Z., Qi, M., Qian, X., Raper, N., Ren, B., Ren, J., Rosero, R., Roskovec, B., Ruan, X. C., Sands III, W. R., Seilhan, B., Shao, B. B., Shih, K., Song, W. Y., Steiner, H., Stoler, P., Stuart, M., Sun, G. X., Sun, J. L., Tagg, N., Tam, Y. H., Tanaka, H. K., Tang, W., Tang, X., Taychenachev, D., Themann, H., Torun, Y., Trentalange, S., Tsai, O., Tsang, K. V., Tsang, R. H. M., Tull, C. E., Tung, Y. C., Viaux, N., Viren, B., Virostek, S., Vorobel, V., Wang, C. H., Wang, L. S., Wang, L. Y., Wang, L. Z., Wang, M., Wang, N. Y., Wang, R. G., Wang, T., Wang, W., Wang, W. W., Wang, X. T., Wang, X., Wang, Y. F., Wang, Z., Wang, Z. M., Webber, D. M., Wei, H. Y., Wei, Y. D., Wen, L. J., Wenman, D. L., Whisnant, K., White, C. G., Whitehead, L., Whitten Jr., C. A., Wilhelmi, J., Wise, T., Wong, H. C., Wong, H. L. H., Wong, J., Wong, S. C. F., Worcester, E., Wu, F. F., Wu, Q., Xia, D. M., Xia, J. K., Xiang, S. T., Xiao, Q., Xing, Z. Z., Xu, G., Xu, J. Y., Xu, J. L., Xu, J., Xu, W., Xu, Y., Xue, T., Yan, J., Yang, C. G., Yang, L., Yang, M. S., Yang, M. T., Ye, M., Yeh, M., Yeh, Y. S., Yip, K., Young, B. L., Yu, G. Y., Yu, Z. Y., Zeng, S., Zhan, L., Zhang, C., Zhang, F. H., Zhang, H. H., Zhang, J. W., Zhang, K., Zhang, Q. X., Zhang, Q. M., Zhang, S. H., Zhang, X. T., Zhang, Y. C., Zhang, Y. H., Zhang, Y. M., Zhang, Y. X., Zhang, Z. J., Zhang, Z. Y., Zhang, Z. P., Zhao, J., Zhao, Q. W., Zhao, Y. F., Zhao, Y. B., Zheng, L., Zhong, W. L., Zhou, L., Zhou, N., Zhou, Z. Y., Zhuang, H. L., Zimmerman, S., and Zou, J. H.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The Daya Bay experiment was the first to report simultaneous measurements of reactor antineutrinos at multiple baselines leading to the discovery of $\bar{\nu}_e$ oscillations over km-baselines. Subsequent data has provided the world's most precise measurement of $\rm{sin}^22\theta_{13}$ and the effective mass splitting $\Delta m_{ee}^2$. The experiment is located in Daya Bay, China where the cluster of six nuclear reactors is among the world's most prolific sources of electron antineutrinos. Multiple antineutrino detectors are deployed in three underground water pools at different distances from the reactor cores to search for deviations in the antineutrino rate and energy spectrum due to neutrino mixing. Instrumented with photomultiplier tubes (PMTs), the water pools serve as shielding against natural radioactivity from the surrounding rock and provide efficient muon tagging. Arrays of resistive plate chambers over the top of each pool provide additional muon detection. The antineutrino detectors were specifically designed for measurements of the antineutrino flux with minimal systematic uncertainty. Relative detector efficiencies between the near and far detectors are known to better than 0.2%. With the unblinding of the final two detectors' baselines and target masses, a complete description and comparison of the eight antineutrino detectors can now be presented. This paper describes the Daya Bay detector systems, consisting of eight antineutrino detectors in three instrumented water pools in three underground halls, and their operation through the first year of eight detector data-taking., Comment: 52 pages, 51 figures

Published
2015
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168. Lidar Network for Temperature and Wind Measurements in the Mesosphere and Lower Thermosphere Region.

Author

Yang, Y., Li, F., Cheng, X., Yang, G., Lyu, D., Lin, X., Liu, L., Fang, X., Zheng, J., Du, L., Wang, W., Ren, L., Wang, J., Liang, J., Ji, K., Xu, L., Chen, Z., Zheng, H., Wang, X., and Wang, Y.

Subjects
OPTICAL radar, LIDAR, ATMOSPHERIC waves, WIND measurement, PULSED lasers
Abstract

A sodium lidar (light detection and range) network for the Earth's mesosphere and lower thermosphere (MLT) temperature, wind and sodium density measurements is designed and constructed in the second phase of the Chinese Meridional Project. Five narrowband sodium lidar systems are deployed across various regions in China, designed and developed based on similar principles and structures. They adhere to uniform data processing standards and operate under the same observational protocols. This allows them to form a network of lidar systems capable of detecting temperature and wind fields in the MLT. The preliminary observation results of the lidar near Tibetan plateau is demonstrated in this paper. This lidar network offers horizontal perspectives on large scale that a single‐station lidar system can't provide. Its future observations are expected to advance the understanding of atmospheric waves by studying wave propagation, chemical‐dynamical coupling processes and the horizonal structure of in the MLT region. Plain Language Summary: This paper describes a new lidar (light detection and range) network to observe the mesosphere and lower thermosphere (MLT) region, which is the coldest area in the earth. Five narrow band sodium lidars in this network measure the temperature, wind and sodium density. They adhere to uniform data processing standards and follow the same observational protocols, which define the temporal and range resolution of lidar data, as well as the world geodetic system. The preliminary results for wind, temperature and sodium density are obtained. The lidar network will provide effective means for MLT research. Key Points: Narrowband sodium lidar based on pulsed seeder laser is constructed to measure wind and temperature in the mesosphere and lower thermosphere regionFive lidars distributed in the region of China from 19.5°N to 53.5°N, and from 87.2°E to 122.4°E form a lidar networkPreliminary observation results are demonstrated the ability and potential of the lidar network to conduct more scientific research [ABSTRACT FROM AUTHOR]

Published
2024
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172. Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region

Author

Xia, J, McGuire, AD, Lawrence, D, Burke, E, Chen, G, Chen, X, Delire, C, Koven, C, MacDougall, A, Peng, S, Rinke, A, Saito, K, Zhang, W, Alkama, R, Bohn, TJ, Ciais, P, Decharme, B, Gouttevin, I, Hajima, T, Hayes, DJ, Huang, K, Ji, D, Krinner, G, Lettenmaier, DP, Miller, PA, Moore, JC, Smith, B, Sueyoshi, T, Shi, Z, Yan, L, Liang, J, Jiang, L, Zhang, Q, and Luo, Y

Subjects
Geophysics
Abstract

Realistic projection of future climate-carbon (C) cycle feedbacks requires better understanding and an improved representation of the C cycle in permafrost regions in the current generation of Earth system models. Here we evaluated 10 terrestrial ecosystem models for their estimates of net primary productivity (NPP) and responses to historical climate change in permafrost regions in the Northern Hemisphere. In comparison with the satellite estimate from the Moderate Resolution Imaging Spectroradiometer (MODIS; 246 ± 6 g C m−2 yr−1), most models produced higher NPP (309 ± 12 g C m−2 yr−1) over the permafrost region during 2000–2009. By comparing the simulated gross primary productivity (GPP) with a flux tower-based database, we found that although mean GPP among the models was only overestimated by 10% over 1982–2009, there was a twofold discrepancy among models (380 to 800 g C m−2 yr−1), which mainly resulted from differences in simulated maximum monthly GPP (GPPmax). Most models overestimated C use efficiency (CUE) as compared to observations at both regional and site levels. Further analysis shows that model variability of GPP and CUE are nonlinearly correlated to variability in specific leaf area and the maximum rate of carboxylation by the enzyme Rubisco at 25°C (Vcmax_25), respectively. The models also varied in their sensitivities of NPP, GPP, and CUE to historical changes in climate and atmospheric CO2 concentration. These results indicate that model predictive ability of the C cycle in permafrost regions can be improved by better representation of the processes controlling CUE and GPPmax as well as their sensitivity to climate change.

Published
2017

173. Does the Berry phase in a quantum optical system originate from the rotating wave approximation

Author

Wang, Minghao, Wei, L. F., and Liang, J. Q.

Subjects
Quantum Physics
Abstract

The Berry phase (BP) in a quantized light field demonstrated more than a decade ago (Phys. Rev. Lett. 89, 220404) has attracted considerable attentions, since it plays an important role in the cavity quantum electrodynamics. However, it is argued in a recent paper ( Phys. Rev. Lett. 108, 033601) that such a BP is just due to the rotating wave approximation (RWA) and the relevant BP should vanish beyond this approximation. Based on a consistent analysis we conclude in this letter that the BP in a generic Rabi model actually exists, no matter whether the RWA is applied. The existence of BP is also generalized to a three-level atom in the quantized cavity field., Comment: 5 pages, 2 figures

Published
2015
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174. Enhanced thermoelectric performance of carbon nanotubes at elevated temperature

Author

Jiang, P. H., Liu, H. J., Fan, D. D., Cheng, L., Wei, J., Zhang, J., Liang, J. H., and Shi, J.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

The electronic and transport properties of (10, 0) single-walled carbon nanotube are studied by performing the first-principles calculations and semi-classical Boltzmann theory. It is found that the (10, 0) tube exhibits considerably large Seebeck coefficient and electrical conductivity which is highly desirable for good thermoelectric materials. Together with the lattice thermal conductivity predicted by non-equilibrium molecular dynamics simulations, the room temperature ZT value of (10, 0) tube is estimated to be 0.15 for p-type carriers. Moreover, the ZT value exhibits strong temperature dependence and can be reached to 0.77 at 1000 K. Such ZT value can be further enhanced to as high as 1.7 by isotope substitution and chemisorptions of hydrogen on the tube.

Published
2015
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175. Graphdiyne: a two-dimensional thermoelectric material with high figure of merit

Author

Sun, L., Jiang, P. H., Liu, H. J., Fan, D. D., Liang, J. H., Wei, J., Cheng, L., Zhang, J., and Shi, J.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

As a new carbon allotrope, the recently fabricated graphdiyne has attracted much attention due to its interesting two-dimensional character. Here we demonstrate by multiscale computations that, unlike graphene, graphdiyne has a natural band gap, and simultaneously possess high electrical conductivity, large Seebeck coefficient, and low thermal conductivity. At a carrier concentration of 2.74*10^11/cm^2 for holes and 1.62*10^11/cm^2 for electrons, the room temperature ZT value of graphdiyne can be optimized to 3.0 and 4.8, respectively, which makes it an ideal system to realize the concept of "phonon-glass and electron-crystal" in the thermoelectric community.

Published
2015

176. Substrate characterization and outcomes of ventricular tachycardia ablation in amyloid cardiomyopathy: a worldwide study

Author

Compagnucci, P, primary, Dello Russo, A, additional, Gasperetti, A, additional, Schiavone, M, additional, Sehrawat, O, additional, Hasegawa, K, additional, Mohanty, S, additional, Liang, J, additional, Stevenson, W, additional, Tondo, C, additional, Siontis, K, additional, Tandri, H, additional, Santangeli, P, additional, Natale, A, additional, and Casella, M, additional

Published
2024
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177. Impact of functional gene groups on outcomes after ablation of ventricular tachycardia in patients with inherited left ventricular cardiomyopathy: an international multicentre study

Author

Kimura, Y, primary, Wijnmaalen, A, additional, Ebert, M, additional, Shimizu, Y, additional, Rafaj, A, additional, Peichl, P, additional, Landes, R, additional, Gandjbakhch, E, additional, Maury, P, additional, Muser, D, additional, Marchilinski, F, additional, Liang, J, additional, Bogun, F, additional, and Zeppenfeld, K, additional

Published
2024
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185. Methodological uncertainty in estimating carbon turnover times of soil fractions

Author

Feng, W, Shi, Z, Jiang, J, Xia, J, Liang, J, Zhou, J, and Luo, Y

Subjects
Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Agronomy & Agriculture
Abstract

Improving predictions of soil organic carbon (SOC) dynamics by multi-compartment models requires validation of turnover times of different SOC pools. Techniques such as laboratory incubation and isotope analysis have been adopted to estimate C turnover times, yet no studies have systematically compared these techniques and assessed the uncertainties associated with them. Here, we tested whether C turnover times of soil fractions were biased by methodology, and how this changed across soil particle sizes and ecosystems. We identified 52 studies that quantified C turnover times in different soil particles fractionated either according to aggregate size (e.g., macro- versus micro-aggregates) or according to soil texture (e.g., sand versus silt versus clay). C turnover times of these soil fractions were estimated by one of three methods: laboratory incubation (16 studies), δ13C shift due to C3-C4 vegetation change (25 studies), and 14C dating (19 studies). All methods showed that C turnover times of soil fractions generally increase with decreasing soil particle size. However, estimates of C turnover times within soil fractions differed significantly among methods, with incubation estimating the shortest turnover times and 14C the longest. The short C turnover times estimated by incubation are likely due to optimal environmental conditions for microbial decomposition existing in these studies, which is often a poor representation of field conditions. The 13C method can only be used when documenting a successive C3 versus C4 vegetation shift. C turnover times estimated by 14C were systematically higher than those estimated by 13C, especially for fine soil fractions (i.e., silt and clay). Overall, our findings highlight methodological uncertainties in estimating C turnover times of soil fractions, and correction factors should be explored to account for methodological bias when C turnover times estimated from different methods are used to parameterize soil C models.

Published
2016

189. Photon Devil's staircase: photon long-range repulsive interaction in lattices of coupled resonators with Rydberg atoms

Author

Zhang, Yuanwei, Fan, Jingtao, Liang, J. -Q., Ma, Jie, Chen, Gang, Jia, Suotang, and Nori, Franco

Subjects
Quantum Physics, Condensed Matter - Quantum Gases
Abstract

The realization of strong coherent interactions between individual photons is a long-standing goal in science and engineering. In this report, based on recent experimental setups, we derive a strong photon long-range repulsive interaction, by controlling the van der Waals repulsive force between Cesium Rydberg atoms located inside different cavities in extended Jaynes-Cummings-Hubbard Lattices. We also find novel quantum phases induced by this photon long-range repulsive interaction. For example, without photon hopping, a photon Devil's staircase, induced by the breaking of long-range translation symmetry, can emerge. If photon hopping occurs, we predict a photon-floating solid phase, due to the motion of particle-and hole-like defects. More importantly, for a large chemical potential in the resonant case, the photon hopping can be frozen even if the hopping term exists. We call this new phase the photon-frozen solid phase. In experiments, these predicted phases could be detedted by measuring the number of polaritons via resonance fluorescence., Comment: Sci. Rep. (accepted for publication)

Published
2014
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190. Proceedings of the second 'international Traveling Workshop on Interactions between Sparse models and Technology' (iTWIST'14)

Author

Jacques, L., De Vleeschouwer, C., Boursier, Y., Sudhakar, P., De Mol, C., Pizurica, A., Anthoine, S., Vandergheynst, P., Frossard, P., Bilen, C., Kitic, S., Bertin, N., Gribonval, R., Boumal, N., Mishra, B., Absil, P. -A., Sepulchre, R., Bundervoet, S., Schretter, C., Dooms, A., Schelkens, P., Chabiron, O., Malgouyres, F., Tourneret, J. -Y., Dobigeon, N., Chainais, P., Richard, C., Cornelis, B., Daubechies, I., Dunson, D., Dankova, M., Rajmic, P., Degraux, K., Cambareri, V., Geelen, B., Lafruit, G., Setti, G., Determe, J. -F., Louveaux, J., Horlin, F., Drémeau, A., Heas, P., Herzet, C., Duval, V., Peyré, G., Fawzi, A., Davies, M., Gillis, N., Vavasis, S. A., Soussen, C., Magoarou, L. Le, Liang, J., Fadili, J., Liutkus, A., Martina, D., Gigan, S., Daudet, L., Maggioni, M., Minsker, S., Strawn, N., Mory, C., Ngole, F., Starck, J. -L., Loris, I., Vaiter, S., Golbabaee, M., and Vukobratovic, D.

Subjects
Computer Science - Numerical Analysis, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Information Theory, Computer Science - Learning, Mathematics - Optimization and Control, Mathematics - Statistics Theory
Abstract

The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between international scientific teams by disseminating ideas through both specific oral/poster presentations and free discussions. For its second edition, the iTWIST workshop took place in the medieval and picturesque town of Namur in Belgium, from Wednesday August 27th till Friday August 29th, 2014. The workshop was conveniently located in "The Arsenal" building within walking distance of both hotels and town center. iTWIST'14 has gathered about 70 international participants and has featured 9 invited talks, 10 oral presentations, and 14 posters on the following themes, all related to the theory, application and generalization of the "sparsity paradigm": Sparsity-driven data sensing and processing; Union of low dimensional subspaces; Beyond linear and convex inverse problem; Matrix/manifold/graph sensing/processing; Blind inverse problems and dictionary learning; Sparsity and computational neuroscience; Information theory, geometry and randomness; Complexity/accuracy tradeoffs in numerical methods; Sparsity? What's next?; Sparse machine learning and inference., Comment: 69 pages, 24 extended abstracts, iTWIST'14 website: http://sites.google.com/site/itwist14

Published
2014

191. Nonlinear Atom-Photon Interaction Induced Population Inversion and Inverted Quantum Phase Transition of Bose-Einstein Condensate in an Optical Cavity

Author

Zhao, Xiuqin, Liu, Ni, and Liang, J-Q

Subjects
Condensed Matter - Quantum Gases, Quantum Physics
Abstract

In this paper we explore the rich structure of macroscopic many-particle quantum states for Bose- Einstein condensate in an optical cavity with the tunable nonlinear atom-photon interaction [Nature (London) 464, 1301 (2010)]. Population inversion, bistable normal phases and the coexistence of normal{superradiant phases are revealed by adjusting of the experimentally realizable interaction strength and pump-laser frequency. For the negative (effective) cavity-frequency we observe remark- ably an inverted quantum phase transition (QPT) from the superradiant to normal phases with the increase of atom-field coupling, which is just opposite to the QPT in the normal Dicke model. The bistable macroscopic states are derived analytically in terms of the spin-coherent-state variational method by taking into account of both normal and inverted pseudospin states., Comment: 7 pages,6 figures

Published
2014
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192. Effects of van der Waals interactions and quasiparticle corrections on the electronic and transport properties of Bi2Te3

Author

Cheng, L., Liu, H. J., Zhang, J., Wei, J., Liang, J. H., Shi, J., and Tang, X. F.

Subjects
Condensed Matter - Materials Science
Abstract

We present a theoretical study of the structural, electronic and transport properties of bulk Bi2Te3 within density functional theory taking into account the van der Waals interactions (vdW) and the quasiparticle self-energy corrections. It is found that the optB86b-vdW functional can well reproduce the experimental lattice constants and interlayer distances for Bi2Te3. Based on the fully optimized structure, the band structure of Bi2Te3 is obtained from first-principles calculations with the GW approximation and the Wannier function interpolation method. The global band extrema are found to be off the high-symmetry lines, and the real energy band calculated is in good agreement with that measured experimentally. In combination with the Boltzmann theory, the GW calculations also give accurate prediction of the transport properties, and the calculated thermoelectric coefficients of Bi2Te3 almost coincide with the experimental data.

Published
2014
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193. Phosphorene nanoribbon as a promising candidate for thermoelectric applications

Author

Zhang, J., Liu, H. J., Cheng, L., Wei, J., Liang, J. H., Fan, D. D., Shi, J., Tang, X. F., and Zhang, Q. J.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

In this work, the electronic properties of phosphorene nanoribbons with different width and edge configurations are studied by using density functional theory. It is found that the armchair phosphorene nanoribbons are semiconducting while the zigzag nanoribbons are metallic. The band gaps of armchair nanoribbons decrease monotonically with increasing ribbon width. By passivating the edge phosphorus atoms with hydrogen, the zigzag series also become semiconducting, while the armchair series exhibit a larger band gap than their pristine counterpart. The electronic transport properties of these phosphorene nanoribbons are then investigated using Boltzmann theory and relaxation time approximation. We find that all the semiconducting nanoribbons exhibit very large values of Seebeck coefficient and can be further enhanced by hydrogen passivation at the edge. Taking armchair nanoribbon with width N=7 as an example, we calculate the lattice thermal conductivity with the help of phonon Boltzmann transport equation. Due to significantly enhanced Seebeck coefficient and decreased thermal conductivity, the phosphorene nanoribbon exhibit a very high figure of merit (ZT value) of 4.0 at room temperature, which suggests its appealing thermoelectric applications.

Published
2014
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196. Soil properties control decomposition of soil organic carbon: Results from data-assimilation analysis

Author

Xu, X, Shi, Z, Li, D, Rey, A, Ruan, H, Craine, JM, Liang, J, Zhou, J, and Luo, Y

Subjects
Agronomy & Agriculture, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences
Abstract

Soil properties, such as clay content, are hypothesized to control decomposition of soil organic carbon (SOC). However, these hypotheses of soil property-C decomposition relationships have not been explicitly tested at large spatial scales. Here, we used a data-assimilation approach to evaluate the roles of soil properties and environmental factors in regulating decomposition of SOC. A three-pool (active, slow, and passive) C-cycling model was optimally fitted with 376 published laboratory incubation data from soils acquired from 73 sites with mean annual temperature ranging from -. 15 to 26. °C. Our results showed that soil physical and chemical properties regulated decomposition rates of the active and the slow C pools. Decomposition rates were lower for soils with high clay content, high field water holding capacity (WHC), and high C:N ratio. Multifactor regression and structural equation modeling (SEM) analyses showed that clay content was the most important variable in regulating decomposition of SOC. In contrast to the active and slow C pools, soil properties or environmental factors had little effect on the decomposition of the passive C pool. Our results show inverse soil property-C decomposition relationships and quantitatively evaluate the essential roles of soil texture (clay content) in controlling decomposition of SOC at a large spatial scale. The results may help model development and projection of changes in terrestrial C sequestration in the future.

Published
2016

197. Toward more realistic projections of soil carbon dynamics by Earth system models

Author

Luo, Y, Ahlström, A, Allison, SD, Batjes, NH, Brovkin, V, Carvalhais, N, Chappell, A, Ciais, P, Davidson, EA, Finzi, A, Georgiou, K, Guenet, B, Hararuk, O, Harden, JW, He, Y, Hopkins, F, Jiang, L, Koven, C, Jackson, RB, Jones, CD, Lara, MJ, Liang, J, McGuire, AD, Parton, W, Peng, C, Randerson, JT, Salazar, A, Sierra, CA, Smith, MJ, Tian, H, Todd-Brown, KEO, Torn, M, Van Groenigen, KJ, Wang, YP, West, TO, Wei, Y, Wieder, WR, Xia, J, Xu, X, and Zhou, T

Subjects
Meteorology & Atmospheric Sciences, Atmospheric Sciences, Geochemistry, Oceanography
Abstract

Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real-world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first-order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth-dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool- and flux-based data sets through data assimilation is among the highest priorities for near-term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.

Published
2016

198. The effect of carbon regulation initiatives on corporate ESG performance in real estate sector: International evidence

Author

Lee, CL ; https://orcid.org/0000-0003-3286-2505, Liang, J, Lee, CL ; https://orcid.org/0000-0003-3286-2505, and Liang, J

Abstract

This study contributes to the existing literature by examining how carbon regulation initiatives influence corporations' ESG actions in the real estate sector, with a special focus on Environmental (E) performance. Specifically, it investigates if stringent carbon regulations like emissions trading systems (ETS) enhance corporates' ESG performance by analyzing data of listed real estate across 37 countries rated by MSCI. Our findings indicate that implementing ETS leads to heightened environmental responsibility in the real estate sector. This supports North's (1990) institutional theory, highlighting the impact of regulations on organizational behavior and business strategies. Our channel analysis suggests that listed real estate leverages ETS-driven regulations to participate in green building initiatives. However, the study does not find comparable effects on carbon taxes. This research highlights the pivotal role of carbon regulations in shaping sustainable practices in the real estate sector.

Published
2024

199. Introducing reticular chemistry into biosystems

Author

Liang, J ; https://orcid.org/0000-0003-1959-9917, Liang, K ; https://orcid.org/0000-0003-3985-7688, Liang, J ; https://orcid.org/0000-0003-1959-9917, and Liang, K ; https://orcid.org/0000-0003-3985-7688

Abstract

Reticular chemistry is the chemistry of linking molecular building units through strong bonds to create extended crystalline structures, such as metal–organic frameworks, hydrogen-bonded organic frameworks, and covalent-organic frameworks. These frameworks possess exceptional characteristics, including tunable porosity, structural versatility, chemical composition variability, and diverse functionalities within the framework backbone. Leveraging the distinct attributes of reticular chemistry and biosystems has resulted in significant advancements in biocatalysis, nanomedicine, and biosensing fields. In this comprehensive review, we highlight the significant milestones achieved in the integration of reticular chemistry and biosystems. We begin by summarizing the general self-assembly strategies employed in reticular chemistry and biosystems. Subsequently, we delve into the strategies utilized to comprehend and regulate the unique nano-bio interfaces. Moreover, we extensively review cutting-edge biomedical applications that leverage reticular chemistry and biosystems, including protein/drug delivery and nanofactories for the treatment of intractable diseases, on-site biosensing, and biocatalysis. Lastly, we address the major challenges that need to be tackled to pave the way for future research endeavors in this exciting interdisciplinary field. By exploring the synergistic possibilities between reticular chemistry and biosystems, we anticipate significant advancements and breakthroughs that will shape the future of nanomaterials and bioapplications.

Published
2024

200. Urban multipoint fire disaster emergency simulation based on web information

Author

Zhao, H, Niu, C ; https://orcid.org/0000-0003-3736-3860, Dou, X, Liang, J, Zhao, H, Niu, C ; https://orcid.org/0000-0003-3736-3860, Dou, X, and Liang, J

Abstract

Simulations can aid in decision making in large-scale emergency response problems limited by insufficient a priori experience. Scenario setting for emergency simulations usually requires complex spatial information, and such issues can lead to a large simulation workload and poor repeatability. Therefore, this study uses a web mapping API to obtain emergency resources and traffic network information and establishes an urban multipoint fire emergency simulation system (UMFESS) for the case of multipoint fire rescue. UMFESS performs traffic network modeling by obtaining real traffic data on a navigation platform, and Arena software is utilized to simulate the process of data collection, information transmission, and department response. The displayed simulation results for firefighting, first aid, transfer and placement can provide the basis for government emergency management. Then, typical cases of single fire and multipoint fires in Beijing are used to verify and validate UMFESS. The simulation results show that the route time and updated information have significant effects on emergency efficiency in the case of concurrent fires with limited resources. Emergency managers should focus on the fairness and stability of resource allocation.

Published
2024

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