Aidan P. Thompson

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Content Similarity

Molecular Dynamics

Machine Learning

Computing Platform

Top Venues

J. Comput. Phys.

Comput. Phys. Commun.

Publications

James Goff, C. Sievers, Mitchell A. Wood, Aidan P. Thompson
Permutation-adapted complete and independent basis for atomic cluster expansion descriptors. J. Comput. Phys. 510 (2024)
Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian, Ilya Sharapov, Aidan P. Thompson, Delyan Z. Kalchev, Danny Perez, Robert Schreiber, Scott Pakin, Edgar A Leon, James H. Laros III, Michael James, Sivasankaran Rajamanickam
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System. CoRR (2024)
Germain Clavier, Aidan P. Thompson
Computation of the thermal elastic constants for arbitrary manybody potentials in LAMMPS using the stress-fluctuation formalism. Comput. Phys. Commun. 286 (2023)
Andrew Rohskopf, C. Sievers, Nicholas Lubbers, Mary Alice Cusentnio, James Goff, Jan Janssen, Megan McCarthy, David Montes Oca de Zapiain, Svetoslav Nikolov, Khachik Sargsyan, Dionysios Sema, Ember Sikorski, Logan Williams, Aidan P. Thompson, Mitchell A. Wood
FitSNAP: Atomistic machine learning with LAMMPS. J. Open Source Softw. 8 (83) (2023)
Aidan P. Thompson, Hasan Metin Aktulga, Richard Berger, Dan S. Bolintineanu, W. Michael Brown, Paul S. Crozier, Pieter J. in 't Veld, Axel Kohlmeyer, Stan G. Moore, Trung Dac Nguyen, Ray Shan, Mark J. Stevens, Julien Tranchida, Christian Trott, Steven J. Plimpton
LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales. Comput. Phys. Commun. 271 (2022)
Kien Nguyen-Cong, Jonathan T. Willman, Stan G. Moore, Anatoly B. Belonoshko, Rahulkumar Gayatri, Evan Weinberg, Mitchell A. Wood, Aidan P. Thompson, Ivan I. Oleynik
Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales. SC (2021)
Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS. CoRR (2020)
Anh Tran, Julien Tranchida, Tim Wildey, Aidan P. Thompson
Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys. CoRR (2020)
J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks. CoRR (2020)
Julien Tranchida, Steven J. Plimpton, Pascal Thibaudeau, Aidan P. Thompson
Massively parallel symplectic algorithm for coupled magnetic spin dynamics and molecular dynamics. J. Comput. Phys. 372 (2018)
Scott Levy, Kurt B. Ferreira, Patrick G. Bridges, Aidan P. Thompson, Christian R. Trott
A study of the viability of exploiting memory content similarity to improve resilience to memory errors. Int. J. High Perform. Comput. Appl. 29 (1) (2015)
Aidan P. Thompson, Laura P. Swiler, Christian R. Trott, S. M. Foiles, Garritt J. Tucker
Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials. J. Comput. Phys. 285 (2015)
Christian R. Trott, Simon D. Hammond, Aidan P. Thompson
SNAP: Strong Scaling High Fidelity Molecular Dynamics Simulations on Leadership-Class Computing Platforms. ISC (2014)
Scott Levy, Patrick G. Bridges, Kurt B. Ferreira, Aidan P. Thompson, Christian R. Trott
Evaluating the feasibility of using memory content similarity to improve system resilience. ROSS@ICS (2013)