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Your search keyword '"Li, Jia-Cheng"' showing total 198 results
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198 results on '"Li, Jia-Cheng"'

1. Large positive magnetoconductance in carbon nanoscrolls

Author

Zhong, Yu-Jie, Huang, Xuan-Fu, Chen, Ting-Zhen, Zhang, Jia-Ren, Li, Jia-Cheng, Huang, Angus, Hsu, Hsiu-Chuan, Ortix, Carmine, and Chang, Ching-Hao

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Materials Science, Quantum Physics
Abstract

We theoretically demonstrate that carbon nanoscrolls -- spirally wrapped graphene layers with open endpoints -- can be characterized by a large positive magnetoconductance. We show that when a carbon nanoscroll is subject to an axial magnetic field of ~ 10T, the ballistic conductance at low carrier densities of the nanoscroll has an increase of about 200%. Importantly, we find that this positive magnetoconductance is not only preserved but can be even enhanced in the presence of on-site disorder. We prove that the positive magnetoconductance comes about the emergence of magnetic field-induced zero energy modes, specific of rolled-up geometries. Our results establish curved graphene systems as a new material platform displaying sizable magnetoresistive phenomena., Comment: 13 pages, 4 figures

Published
2024

2. Real-Time Recognition of Vortex Beams Modes Through Random Diffusive at the Speed of Light

Author

Fu, Tong, Luo, Gang, Li, Jia Cheng, Geng, Yuan Chao, and Yuan, Xiao Dong

Subjects
Physics - Optics
Abstract

Optical vortex beam with orbital angular momentum (OAM) has great potential to increase the capacity of optical communication and information processing in classical and quantum regimes. Nevertheless, important challenges that influence the optical data transmission in free space is the existence of diffusers along the optical path, which causes inevitable information loss during the wave propagation. Numerous algorithms have been proposed successively for identifying the modes of vortex beams propagating through scattering media. However, these methods all require completion on a computer, which is energyintensive and energy consuming. Here, we propose an all-optical regime for identifying the modes of vortex light fields propagating through scattering media. After training by deep learning, our model can recognize the mode of vortex beam through unknown phase diffusers, demonstrating generalization to new random diffusers that have never been encountered before. Once physically deployed, the entire setup will rapidly identify the modes of vortex light propagating through scattering media at the speed of light, and the entire inference process will consume zero energy except for illumination source. Our research represents a significant step towards highly accurate recognition of vortex light modes propagating through complex scattering media, providing significant guidance for the application of optical communication in complex environments.

Published
2024

20. 4 inch Gallium Oxide Field‐Effect Transistors Array with High‐k Ta2O5 as Gate Dielectric by Physical Vapor Deposition.

Author

Liu, Zi Chun, Li, Jia Cheng, Yang, Hui Xia, Yang, Han, Huang, An, Dai, De, Huang, Yuan, Zhang, Yi Yun, Lai, Pui To, Ma, Yuan Xiao, and Wang, Ye Liang

Subjects
*PHYSICAL vapor deposition, *VAPOR-plating, *THRESHOLD voltage, *HIGH voltages, *DIELECTRICS
Abstract

Field‐effect transistors (FETs) with ultra‐wide bandgap semiconductor Ga2O3 have been fabricated by physical vapor deposition with advantages of low cost, wafer scale, and rapid production. The insulator‐like pristine Ga2O3 is converted to semiconductor by co‐sputtering Sn with post‐annealing, which demonstrates a 5.6 × 107 times higher on‐state current. Importantly, this Sn‐doped Ga2O3 sample shows a high breakdown voltage near 500 V. Furthermore, a 4 inch array of Sn‐doped Ga2O3 FETs with high‐k Ta2O5 gate dielectric has been fabricated on a silicon substrate, successfully showing a large on‐current density of 1.3 mA mm−1, a high ION/IOFF of 2.5 × 106, and a low threshold voltage of 3.9 V, which are extracted from the average 350 devices. This work paves a promising way for Ga2O3‐based nanoelectronics to serve medium‐high voltage with low cost, rapid, and wafer‐scale production. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Chiral Brønsted acid-catalyzed asymmetric dearomative spirocyclization of alkynyl thioethers.

Author

Fan, Xin-Yang, Li, Jia-Cheng, Zhou, Ji-Jia, Zhou, Bo, and Ye, Long-Wu

Subjects
*SULFIDES, *DERACEMIZATION, *ORGANIC synthesis, *ALKYNES, *SPIROKETALS, *SPIRO compounds
Abstract

The regioselective transformation of alkynes represents a highly efficient bond-forming strategy in organic synthesis. However, the enantiocontrol in the conversion of alkynes remains challenging, especially for the metal-free approach. Herein, we describe a chiral Brønsted acid-catalyzed enantioselective spirocyclization of alkynyl thioethers via dearomatization of phenols. This metal-free protocol leads to the green and atom-economical preparation of chiral spiro[4.5]decan-6-ones in good to excellent yields with high enantioselectivities. Importantly, this protocol represents the first metal-free example of the asymmetric transformation of alkynyl thioethers. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Selective bromodomain and extra-terminal bromodomain inhibitor inactivates macrophages and hepatic stellate cells to inhibit liver inflammation and fibrosis

Author

Fu, Rong, primary, Zu, Shi-Jia, additional, Liu, Yan-Jun, additional, Li, Jia-Cheng, additional, Dang, Wen-Zhen, additional, Liao, Li-Ping, additional, Liu, Li-Ping, additional, Chen, Pan-Yu, additional, Huang, He-Ming, additional, Wu, Kang-Hui, additional, Zhou, Bing, additional, Pan, Qin, additional, Luo, Cheng, additional, Zhang, Yuan-Yuan, additional, and Li, Guang-Ming, additional

Published
2022
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46. P300/CBP inhibition sensitizes mantle cell lymphoma to PI3Kδ inhibitor idelalisib

Author

Zhou, Xiao-ru, primary, Li, Xiao, additional, Liao, Li-ping, additional, Han, Jie, additional, Huang, Jing, additional, Li, Jia-cheng, additional, Tao, Hong-ru, additional, Fan, Shi-jie, additional, Chen, Zhi-feng, additional, Li, Qi, additional, Chen, Shi-jie, additional, Ding, Hong, additional, Yang, Ya-xi, additional, Zhou, Bing, additional, Jiang, Hua-liang, additional, Chen, Kai-xian, additional, Zhang, Yuan-yuan, additional, Huang, Chuan-xin, additional, and Luo, Cheng, additional

Published
2021
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47. Identification of Novel Pathways in Plant Lectin-Induced Cancer Cell Apoptosis

Author

Zheng Shi, Rong Sun, Tian Yu, Rong Liu, Li-Jia Cheng, Jin-Ku Bao, Liang Zou, and Yong Tang

Subjects
plant lectin, apoptosis, Naïve Bayesian model, novel pathways, cancer, Biology (General), QH301-705.5, Chemistry, QD1-999
Abstract

Plant lectins have been investigated to elucidate their complicated mechanisms due to their remarkable anticancer activities. Although plant lectins seems promising as a potential anticancer agent for further preclinical and clinical uses, further research is still urgently needed and should include more focus on molecular mechanisms. Herein, a Naïve Bayesian model was developed to predict the protein-protein interaction (PPI), and thus construct the global human PPI network. Moreover, multiple sources of biological data, such as smallest shared biological process (SSBP), domain-domain interaction (DDI), gene co-expression profiles and cross-species interolog mapping were integrated to build the core apoptotic PPI network. In addition, we further modified it into a plant lectin-induced apoptotic cell death context. Then, we identified 22 apoptotic hub proteins in mesothelioma cells according to their different microarray expressions. Subsequently, we used combinational methods to predict microRNAs (miRNAs) which could negatively regulate the abovementioned hub proteins. Together, we demonstrated the ability of our Naïve Bayesian model-based network for identifying novel plant lectin-treated cancer cell apoptotic pathways. These findings may provide new clues concerning plant lectins as potential apoptotic inducers for cancer drug discovery.

Published
2016
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