5 papers
Shadow Molecular Dynamics for General Nonlinear Flexible-Charge Models
Jos Thomas, Anthony P. Baldo, Rae A. Corrigan Grove +10
Machine-learned interatomic potentials have greatly expanded the reach of molecular dynamics simulations, but complex chemical environments often require explicit treatment of long…
SEDACS: A Scalable Framework for Complex Chemistry Simulations
Cheng-Han Li, Joshua Finkelstein, Maksim Kulichenko +5
Graph-based linear-scaling electronic-structure theory provides a scalable framework for parallel quantum-mechanical molecular dynamics (QMD) simulations by exploiting the nearsigh…
Shadow Molecular Dynamics for Flexible Multipole Models
Rae A. Corrigan Grove, Robert Stanton, Michael E. Wall +1
Shadow molecular dynamics provide an efficient and stable atomistic simulation framework for flexible charge models with long-range electrostatic interactions. While previous imple…
GPU-Accelerated Charge-Equilibration for Shadow Molecular Dynamics in Python
Mehmet Cagri Kaymak, Nicholas Lubbers, Christian F. A. Negre +2
With recent advancements in machine learning for interatomic potentials, Python has become the go-to programming language for exploring new ideas. While machine-learning potentials…
Modeling Reactions on the Solid-Liquid Interface With Next Generation Extended Lagrangian Quantum-Based Molecular Dynamics
Rae A. Corrigan Grove, Kevin G. Kleiner, Joshua Finkelstein +5
We present a series of simulations of the oxygen reduction reaction (ORR) using a novel framework for atomistic simulations of surface catalysis under electrochemical bias. The fra…