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1,148 results on '"Schneider, Daniel"'

39. Zero Bias Power Detector Circuits based on MoS$_2$ Field Effect Transistors on Wafer-Scale Flexible Substrates

Author

Reato, Eros, Palacios, Paula, Uzlu, Burkay, Saeed, Mohamed, Grundmann, Annika, Wang, Zhenyu, Schneider, Daniel S., Wang, Zhenxing, Heuken, Michael, Kalisch, Holger, Vescan, Andrei, Radenovic, Alexandra, Kis, Andras, Neumaier, Daniel, Negra, Renato, and Lemme, Max C.

Subjects
Physics - Applied Physics
Abstract

We demonstrate the design, fabrication, and characterization of wafer-scale, zero-bias power detectors based on two-dimensional MoS$_2$ field effect transistors (FETs). The MoS$_2$ FETs are fabricated using a wafer-scale process on 8 $\mu$m thick polyimide film, which in principle serves as flexible substrate. The performances of two CVD-MoS$_2$ sheets, grown with different processes and showing different thicknesses, are analyzed and compared from the single device fabrication and characterization steps to the circuit level. The power detector prototypes exploit the nonlinearity of the transistors above the cut-off frequency of the devices. The proposed detectors are designed employing a transistor model based on measurement results. The fabricated circuits operate in Ku-band between 12 and 18 GHz, with a demonstrated voltage responsivity of 45 V/W at 18 GHz in the case of monolayer MoS2 and 104 V/W at 16 GHz in the case of multilayer MoS$_2$, both achieved without applied DC bias. They are the best performing power detectors fabricated on flexible substrate reported to date. The measured dynamic range exceeds 30 dB outperforming other semiconductor technologies like silicon complementary metal oxide semiconductor (CMOS) circuits and GaAs Schottky diodes., Comment: 28 pages

Published
2022
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42. How Bad Could It Be? Worst-Case Bounds on Bias in Multistate Models Due to Unobserved Transitions

Author

Dudel, Christian and Schneider, Daniel C.

Abstract

Multistate models are often used in social research to analyze how individuals move between states. A typical application is the estimation of the lifetime spent in a certain state, like the lifetime spent in employment, or the lifetime spent in good health. Unfortunately, the estimation of such quantities is prone to several biases. In this paper, we study the bias due to the often implicitly used assumption that there are no unobserved transitions between states. This assumption does often not hold for the panel data typically used to estimate multistate models, as the states occupied by individuals are only known at specific points in time, and further transitions between panel waves are not recorded. We present partially identified estimates of the lifetime spent in a state, or worse-case bounds, which show the maximum possible level of bias due to unobserved transitions. We provide two examples studying the lifetime spent in disability (disabled life expectancy; DLE). The first example applies our methods to results on cohort trends in DLE in the U.S. taken from Crimmins et al. (2009). In the second example, we replicate findings from Mehta and Myrskylä (2017), and apply our methods to data from the U.S. Health and Retirement Study (HRS) in order to estimate the effects of health behaviors on DLE.

Published
2023
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49. Plasma proteome of growing tumors

Author

Gupta, Shashi, Westacott, Matthew J., Ayers, Deborah G., Weiss, Sophie J., Whitley, Penn, Mueller, Christopher, Weaver, Daniel C., Schneider, Daniel J., Karimpour-Fard, Anis, Hunter, Lawrence E., Drolet, Daniel W., and Janjic, Nebojsa

Published
2023
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