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)

Proper orthogonal descriptors for efficient and accurate interatomic potentials. - Ngoc Cuong Nguyen; Andrew Rohskopf (J. Comput. Phys., 2023)

Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations. - Attila Cangi; Lenz Fiedler; Bartosz Brzoza; Karan Shah 001; Timothy J. Callow; Daniel Kotik; Steve Schmerler; Matthew C. Barry; James M. Goff; Andrew Rohskopf; Dayton J. Vogel; Normand A. Modine; et al. (Comput. Phys. Commun., 2025)