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Guoqing Zhou
Guoqing Zhou
NVIDIA, LANL, USC
Verified email at usc.edu
Title
Cited by
Cited by
Year
Structural Deformation Controls Charge Losses in MAPbI3: Unsupervised Machine Learning of Nonadiabatic Molecular Dynamics
G Zhou, W Chu, OV Prezhdo
ACS Energy Letters 5 (6), 1930-1938, 2020
602020
Core-dependent properties of copper nanoclusters: valence-pure nanoclusters as NIR TADF emitters and mixed-valence ones as semiconductors
LLM Zhang, G Zhou, G Zhou, HK Lee, N Zhao, OV Prezhdo, TCW Mak
Chemical science 10 (43), 10122-10128, 2019
422019
Machine learned Hückel theory: Interfacing physics and deep neural networks
T Zubatiuk, B Nebgen, N Lubbers, JS Smith, R Zubatyuk, G Zhou, C Koh, ...
The Journal of Chemical Physics 154 (24), 2021
392021
Common defects accelerate charge separation and reduce recombination in CNT/molecule composites: atomistic quantum dynamics
R Sarkar, M Kar, M Habib, G Zhou, T Frauenheim, P Sarkar, S Pal, ...
Journal of the American Chemical Society 143 (17), 6649-6656, 2021
382021
Graphics processing unit-accelerated semiempirical Born Oppenheimer molecular dynamics using PyTorch
G Zhou, B Nebgen, N Lubbers, W Malone, AMN Niklasson, S Tretiak
Journal of Chemical Theory and Computation 16 (8), 4951-4962, 2020
312020
Modeling Auger Processes with Nonadiabatic Molecular Dynamics
G Zhou, G Lu, OV Prezhdo
Nano Letters 21 (1), 756-761, 2020
302020
Dependence between Structural and Electronic Properties of CsPbI3: Unsupervised Machine Learning of Nonadiabatic Molecular Dynamics
SM Mangan, G Zhou, W Chu, OV Prezhdo
The Journal of Physical Chemistry Letters 12 (35), 8672-8678, 2021
272021
Molecular Simulation of MoS2 Exfoliation
G Zhou, P Rajak, S Susarla, PM Ajayan, RK Kalia, A Nakano, P Vashishta
Scientific reports 8 (1), 16761, 2018
272018
Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics
G Zhou, N Lubbers, K Barros, S Tretiak, B Nebgen
Proceedings of the National Academy of Sciences 119 (27), e2120333119, 2022
242022
Electron–phonon scattering is much weaker in carbon nanotubes than in graphene nanoribbons
G Zhou, C Cen, S Wang, M Deng, OV Prezhdo
The Journal of Physical Chemistry Letters 10 (22), 7179-7187, 2019
242019
Chemically Switchable n-Type and p-Type Conduction in Bismuth Selenide Nanoribbons for Thermoelectric Energy Harvesting
Y Xiong*, G Zhou*, NC Lai, X Wang, YC Lu, OV Prezhdo, D Xu
ACS nano 15 (2), 2791–2799, 2021
152021
Ultrafast Electronic Relaxation Dynamics of Atomically Thin MoS2 Is Accelerated by Wrinkling
C Xu, G Zhou, EM Alexeev, AR Cadore, I Paradisanos, AK Ott, G Soavi, ...
ACS nano 17 (17), 16682-16694, 2023
72023
Semi-empirical shadow molecular dynamics: A pytorch implementation
M Kulichenko, K Barros, N Lubbers, N Fedik, G Zhou, S Tretiak, B Nebgen, ...
Journal of Chemical Theory and Computation 19 (11), 3209-3222, 2023
22023
Theoretical Modeling of Nanoscale Systems: Applications and Method Development
G Zhou
UNIVERSITY OF SOUTHERN CALIFORNIA, 2021
2021
Machine Learning with Domain Knowledge of Quantum Chemistry
G Zhou, BT Nebgen, NE Lubbers, S Tretiak
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2020
2020
Molecular Simulations of Shear Exfoliation of MoS2
G Zhou, R Kalia, A Nakano, P Vashishta, S Team
APS March Meeting Abstracts 2018, A36. 009, 2018
2018
Molecular Simulation of MoS\textbf{ Exfoliation}
G Zhou, R Kalia, A Nakano, P Vashishta
Bulletin of the American Physical Society 62, 2017
2017
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Articles 1–17