Timothy J. Callow

According to our database, Timothy J. Callow authored at least 3 papers between 2022 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

2023

Physics-enhanced neural networks for equation-of-state calculations.

Timothy J. Callow, Jan Nikl, Eli Kraisler, Attila Cangi

Mach. Learn. Sci. Technol., December, 2023

2022

atoMEC: An open-source average-atom Python code.

Timothy J. Callow, Daniel Kotik, Eli Kraisler, Attila Cangi

Proceedings of the 21st Python in Science Conference 2022, 2022