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20092023
most citedA proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations

153 citations · 899 across the 45 of their papers we have counts for

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physics.comp-ph2023★ 3 cited

Towards a Foundation Model for Neural Network Wavefunctions

Michael Scherbela, Leon Gerard, Philipp Grohs

Deep neural networks have become a highly accurate and powerful wavefunction ansatz in combination with variational Monte Carlo methods for solving the electronic Schrödinger equat…

physics.comp-ph2021★ 3 cited

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

Michael Scherbela, Rafael Reisenhofer, Leon Gerard +2

Accurate numerical solutions for the Schrödinger equation are of utmost importance in quantum chemistry. However, the computational cost of current high-accuracy methods scales poo…