Dayton J. Vogel

According to our database, Dayton J. Vogel authored at least 2 papers between 2022 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

2022

Scripts and Models for "Predicting electronic structures at any length scale with machine learning".

Lenz Fiedler, Steve Schmerler, Normand A. Modine, Dayton J. Vogel, Gabriel A. Popoola, Aidan P. Thompson, Sivasankaran Rajamanickam, Attila Cangi

Dataset, September, 2022