66 citations · 99 across the 3 of their papers we have counts for
3 papers
Machine Learning Interatomic Potential for Simulations of Carbon at Extreme Conditions
Jonathan T. Willman, Kien Nguyen-Cong, Ashley S. Williams +5
A Spectral Neighbor Analysis (SNAP) machine learning interatomic potential (MLIP) has been developed for simulations of carbon at extreme pressures (up to 5 TPa) and temperatures (…
Enabling particle applications for exascale computing platforms
Susan M Mniszewski, James Belak, Jean-Luc Fattebert +21
The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applic…
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS
Rahulkumar Gayatri, Stan Moore, Evan Weinberg +5
The exascale race is at an end with the announcement of the Aurora and Frontier machines. This next generation of supercomputers utilize diverse hardware architectures to achieve t…