Siva Rajamanickam
Siva Rajamanickam
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Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks
J Austin Ellis
,
Lenz Fiedler
,
Gabriel a Popoola
,
Normand a Modine
,
J Adam Stephens
,
Aidan P Thompson
,
Attila Cangi
,
Sivasankaran Rajamanickam
January 2021
Cite
Type
Journal article
Publication
Physical Review B
AI
SciML
Materials
Applications
Related
Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations
Predicting electronic structures at any length scale with machine learning
Training-free hyperparameter optimization of neural networks for electronic structures in matter
Concentric Spherical Neural Network for 3D Representation Learning
Concentric Spherical GNN for 3D Representation Learning
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