A physics-informed operator regression framework for extracting data-driven continuum models. - Ravi G. Patel; Nathaniel A. Trask; Mitchell A. Wood; Eric C. Cyr (CoRR, 2020)

Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales. - 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 (SC, 2021)

Thermodynamically consistent physics-informed neural networks for hyperbolic systems. - Ravi G. Patel; Indu Manickam; Nathaniel A. Trask; Mitchell A. Wood; Myoungkyu Lee; Ignacio Tomas; Eric C. Cyr (J. Comput. Phys., 2022)

FitSNAP: Atomistic machine learning with LAMMPS. - 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; et al. (J. Open Source Softw., 2023)

Permutation-adapted complete and independent basis for atomic cluster expansion descriptors. - James Goff; C. Sievers; Mitchell A. Wood; Aidan P. Thompson (J. Comput. Phys., 2024)