Search Results for author:
Found 3 papers, 1 papers with code
Open-Source Fermionic Neural Networks with Ionic Charge Initialization
Finding accurate solutions to the electronic Schr\"odinger equation plays an important role in discovering important molecular and material energies and characteristics.
Open Source Infrastructure for Differentiable Density Functional Theory
Learning exchange correlation functionals, used in quantum chemistry calculations, from data has become increasingly important in recent years, but training such a functional requires sophisticated software infrastructure.
Rotation Equivariant Operators for Machine Learning on Scalar and Vector Fields
We develop theory and software for rotation equivariant operators on scalar and vector fields, with diverse applications in simulation, optimization and machine learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
