Results 111 to 120 of about 56,348 (299)

Current and electroluminescence intensity oscillations under bipolar lateral electric transport in the double-GaAs/InGaAs/GaAs quantum wells

Semiconductor Physics, Quantum Electronics & Optoelectronics, 2018
The lateral bipolar electric transport has been investigated for multi-period n-In 0.08 Ga 0.92 As/GaAs heterostructures with tunnel-coupled double-quantum wells for various carrier mobilities at temperatures 4.2...160 K.
M.M. Vinoslavskii, P.A. Belevskii, V.M. Poroshin, O.S. Pilipchuk, V.O. Kochelap   +4 more
doaj   +1 more source

A Comparison between Electroluminescence Models and Experimental Results

, 2011
Electrical insulation ages and degrades until its eventual failure under electrical stress. One cause of this relates to the movement and accumulation of charge within the insulation.
Baudoin, F, Chen, G, Lewin, P L, Mills, D H   +3 more
core  

Accelerating Discovery to Deployment: Argonne's Materials Engineering Research Facility (MERF) and Its Role in Scaling Materials Technologies for Water and Resource Solutions

Advanced Materials Technologies, EarlyView.
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang, Bratin Sengupta, Xiaoao Shi, Haihui Pu, Jeffrey W. Elam, Gregory K. Krumdick, Jessica Durham Macholz, Allison Bennett Irion, Junhong Chen, Seth B. Darling   +9 more
wiley   +1 more source

Spin memristive systems

, 2008
Recently, in addition to the well-known resistor, capacitor and inductor, a fourth passive circuit element, named memristor, has been identified following theoretical predictions.
D. L. Scharfetter, M. Di Ventra, Yu. V. Pershin   +2 more
core   +1 more source

Lead‐Free Bismuth Halide Perovskite Memristors: Low‐Voltage Switching and Physical Modeling of Resistive Hysteresis

Advanced Materials Technologies, EarlyView.
Lead‐free bismuth halide perovskite memristors exhibit stable low‐voltage resistive switching behavior. The conductance‐activated quasi‐linear memristor model quantitatively reproduces the experimental hysteresis, confirming ion migration‐driven filament dynamics.
So‐Yeon Kim, Gonzalo Rivera‐Sierra, Bitania Shiferaw Mengesha, Benjamin Iniguez, Juan Bisquert   +4 more
wiley   +1 more source

Hydrodynamic model for electron-hole plasma in graphene

, 2012
We propose a hydrodynamic model describing steady-state and dynamic electron and hole transport properties of graphene structures which accounts for the features of the electron and hole spectra.
Otsuji, T., Ryzhii, V., Svintsov, D., Vyurkov, V., Yurchenko, S.   +4 more
core   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Space Charge Accumulation in Silicone Rubber Influenced by Poole-Frenkel Effect

MATEC Web of Conferences, 2018
With the rapid increase of electrical energy consumption in metropolises, more and more power cables are utilized in power grid or urban power network to transmit and distribute electrical energy.
Kang Wenbin, Meng Shaoxing, Cui Haozhe, Li Yuwei, Mi Rui, Yan Chenyu, Li Shijun, Min Daomin   +7 more
doaj   +1 more source

Snake States in Graphene p-n Junctions

, 2010
We investigate transport in locally-gated graphene devices, where carriers are injected and collected along, rather than across, the gate edge. Tuning densities into the p-n regime significantly reduces resistance along the p-n interface, while ...
Marcus, C. M., Williams, J. R.
core   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source