2 citations · 2 across the 2 of their papers we have counts for
3 papers · 1 filter
Self-supervised Pretraining for Partial Differential Equations
Varun Madhavan, Amal S Sebastian, Bharath Ramsundar +1
In this work, we describe a novel approach to building a neural PDE solver leveraging recent advances in transformer based neural network architectures. Our model can provide solut…
Open-Source Fermionic Neural Networks with Ionic Charge Initialization
Shai Pranesh, Shang Zhu, Venkat Viswanathan +1
Finding accurate solutions to the electronic Schrödinger equation plays an important role in discovering important molecular and material energies and characteristics. Consequently…
Open Source Infrastructure for Differentiable Density Functional Theory
Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu +2
Learning exchange correlation functionals, used in quantum chemistry calculations, from data has become increasingly important in recent years, but training such a functional requi…