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Efficacy of the Radial Pair Potential Approximation for Molecular Dynamics Simulations of Dense Plasmas
Lucas J. Stanek, Raymond C. Clay, M. W. C. Dharma-wardana +3
Macroscopic simulations of dense plasmas rely on detailed microscopic information that can be computationally expensive and is difficult to verify experimentally. In this work, we…
Thermodynamically consistent physics-informed neural networks for hyperbolic systems
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask +4
Physics-informed neural network architectures have emerged as a powerful tool for developing flexible PDE solvers which easily assimilate data, but face challenges related to the P…
A physics-informed operator regression framework for extracting data-driven continuum models
Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood +1
The application of deep learning toward discovery of data-driven models requires careful application of inductive biases to obtain a description of physics which is both accurate a…
Explicit Multi-element Extension of the Spectral Neighbor Analysis Potential for Chemically Complex Systems
Mary Alice Cusentino, Mitchell A. Wood, Aidan P. Thompson
A natural extension of the descriptors used in the Spectral Neighbor Analysis Potential (SNAP) method is derived to treat atomic interactions in chemically complex systems. Atomic…