Publications per year
Publications per year
Search results
-
2024
Towards a transferable fermionic neural wavefunction for molecules
Scherbela, M., Gerard, L. & Grohs, P., 2 Jan 2024, (E-pub ahead of print) In: Nature Communications. 15, 1, 12 p., 120.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
2023
Variational Monte Carlo on a Budget - Fine-tuning pretrained Neural Wavefunctions
Scherbela, M., Gerard, L. & Grohs, P., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
-
2022
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Gerard, L., Scherbela, M., Marquetand, P. & Grohs, P., 2022.Publications: Contribution to conference › Paper › Peer Reviewed
-
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
Scherbela, M., Reisenhofer, R., Gerard, L., Marquetand, P. & Grohs, P., 19 May 2022, In: Nature Computational Science. 2, 5, p. 331–341 11 p.Publications: Contribution to journal › Article › Peer Reviewed