Andrew Rohskopf

According to our database, Andrew Rohskopf authored at least 3 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations.

Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam

Comput. Phys. Commun., 2025

2023

Proper orthogonal descriptors for efficient and accurate interatomic potentials.

Ngoc Cuong Nguyen, Andrew Rohskopf

J. Comput. Phys., May, 2023

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, Logan Williams, Aidan P. Thompson, Mitchell A. Wood

J. Open Source Softw., March, 2023