Normand A. Modine

According to our database, Normand A. Modine authored at least 3 papers between 2020 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

2020

Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks.

J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam

CoRR, 2020