Max Veit
Title
Cited by
Cited by
Year
Equation of state of fluid methane from first principles with machine learning potentials
M Veit, SK Jain, S Bonakala, I Rudra, D Hohl, G Csányi
Journal of chemical theory and computation 15 (4), 2574-2586, 2019
272019
Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles
M Veit, DM Wilkins, Y Yang, RA DiStasio Jr, M Ceriotti
The Journal of Chemical Physics 153 (2), 024113, 2020
92020
Eigenfunction decomposition of reactor perturbations and transitions using MCNP Monte Carlo
C Josey, MD Veit
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2013
42013
Efficient implementation of atom-density representations
F Musil, M Veit, A Goscinski, G Fraux, MJ Willatt, M Stricker, T Junge, ...
The Journal of Chemical Physics 154 (11), 114109, 2021
22021
Multi-scale electrolyte transport simulations for lithium ion batteries
F Hanke, N Modrow, RLC Akkermans, I Korotkin, FC Mocanu, VA Neufeld, ...
Journal of The Electrochemical Society 167 (1), 013522, 2019
22019
Bulk methane models and simulation parameters
M Veit
12018
Locality of forces in molecular systems
M Veit
University of Cambridge, 2015
12015
Machine learning the molecular dipole moment with atomic partial charges and atomic dipoles
M Veit, D Wilkins, Y Yang, RA DiStasio Jr., M Ceriotti
Bulletin of the American Physical Society, 2021
2021
Representative trajectory data supporting" Multiscale Electrolyte Transport Simulations for Lithium Ion Batteries"
F Hanke, N Modrow, RLC Akkermans, I Korotkin, FC Mocanu, V Neufeld, ...
2020
Designing a machine learning potential for molecular simulation of liquid alkanes
MD Veit
University of Cambridge, 2019
2019
Research data supporting" Designing a machine learning potential for molecular simulation of liquid alkanes"
M Veit
2019
Stochastic Simulation of Genetic Regulatory Networks with Delayed Reactions
M Veit
2014
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