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Stan Moore
Stan Moore
Principal Member of Technical Staff, Sandia National Laboratories
Verified email at sandia.gov
Title
Cited by
Cited by
Year
LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
AP Thompson, HM Aktulga, R Berger, DS Bolintineanu, WM Brown, ...
Computer Physics Communications 271, 108171, 2022
35242022
Direct simulation Monte Carlo on petaflop supercomputers and beyond
SJ Plimpton, SG Moore, A Borner, AK Stagg, TP Koehler, JR Torczynski, ...
Physics of Fluids 31 (8), 2019
2382019
Characteristics of thermal conductivity in classical water models
TW Sirk, S Moore, EF Brown
The Journal of chemical physics 138 (6), 2013
1762013
Recent advances for improving the accuracy, transferability, and efficiency of reactive force fields
I Leven, H Hao, S Tan, X Guan, KA Penrod, D Akbarian, B Evangelisti, ...
Journal of chemical theory and computation 17 (6), 3237-3251, 2021
542021
Improved implementation of Kirkwood-Buff solution theory in periodic molecular simulations
JW Nichols, SG Moore, DR Wheeler
Physical Review E 80 (5), 051203, 2009
342009
Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales
K Nguyen-Cong, JT Willman, SG Moore, AB Belonoshko, R Gayatri, ...
Proceedings of the International Conference for High Performance Computing …, 2021
292021
Enabling particle applications for exascale computing platforms
SM Mniszewski, J Belak, JL Fattebert, CFA Negre, SR Slattery, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
292021
EMPIRE-PIC: a performance portable unstructured particle-in-cell code
MT Bettencourt, DAS Brown, KL Cartwright, EC Cyr, CA Glusa, PT Lin, ...
Communications in Computational Physics 30 (SAND-2021-2806J), 2021
282021
LAMMPS documentation
S Plimpton, A Thompson, S Moore, A Kohlmeyer
Sandia National Laboratories (January 2016), 2006
262006
Machine learning interatomic potential for simulations of carbon at extreme conditions
JT Willman, K Nguyen-Cong, AS Williams, AB Belonoshko, SG Moore, ...
Physical Review B 106 (18), L180101, 2022
232022
Liquid-vapor interface of the Stockmayer fluid in a uniform external field
SG Moore, MJ Stevens, GS Grest
Physical Review E 91 (2), 022309, 2015
232015
Highly scalable discrete-particle simulations with novel coarse-graining: accessing the microscale
TI Mattox, JP Larentzos, SG Moore, CP Stone, DA Ibanez, AP Thompson, ...
Molecular Physics 116 (15-16), 2061-2069, 2018
162018
Chemical potential perturbation: A method to predict chemical potentials in periodic molecular simulations
SG Moore, DR Wheeler
The Journal of chemical physics 134 (11), 2011
152011
Water in an external electric field: comparing charge distribution methods using ReaxFF simulations
JP Koski, SG Moore, RC Clay, KA O’Hearn, HM Aktulga, MA Wilson, ...
Journal of Chemical Theory and Computation 18 (1), 580-594, 2021
112021
Rapid exploration of optimization strategies on advanced architectures using testsnap and lammps
R Gayatri, S Moore, E Weinberg, N Lubbers, S Anderson, J Deslippe, ...
arXiv preprint arXiv:2011.12875, 2020
112020
Extension and evaluation of the multilevel summation method for fast long-range electrostatics calculations
SG Moore, PS Crozier
The Journal of Chemical Physics 140 (23), 2014
112014
Cabana: A performance portable library for particle-based simulations
S Slattery, ST Reeve, C Junghans, D Lebrun-Grandié, R Bird, G Chen, ...
Journal of Open Source Software 7 (72), 4115, 2022
102022
Chemical potential perturbation: Extension of the method to lattice sum treatment of intermolecular potentials
SG Moore, DR Wheeler
The Journal of Chemical Physics 136 (16), 2012
102012
Lammps stable release 29 October 2020
S Plimpton, A Kohlmeyer, A Thompson, S Moore, R Berger
Zenodo. https://doi. org/10.5281/zenodo 4157471, 2020
92020
Effect of an external field on capillary waves in a dipolar fluid
JP Koski, SG Moore, GS Grest, MJ Stevens
Physical Review E 96 (6), 063106, 2017
62017
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