Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? - Leon Gerard; Michael Scherbela; Philipp Marquetand; Philipp Grohs (NeurIPS, 2022)

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks. - Michael Scherbela; Rafael Reisenhofer; Leon Gerard; Philipp Marquetand; Philipp Grohs (Nat. Comput. Sci., 2022)

Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural Wavefunctions. - Michael Scherbela; Leon Gerard; Philipp Grohs (NeurIPS, 2023)

Towards a Foundation Model for Neural Network Wavefunctions. - Michael Scherbela; Leon Gerard; Philipp Grohs (CoRR, 2023)

Transferable Neural Wavefunctions for Solids. - Leon Gerard; Michael Scherbela; Halvard Sutterud; W. Matthew C. Foulkes; Philipp Grohs (CoRR, 2024)