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)

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 (RODARE, 2022)

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)