Michael Scherbela

According to our database, Michael Scherbela authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Transferable Neural Wavefunctions for Solids.

Leon Gerard, Michael Scherbela, Halvard Sutterud, W. Matthew C. Foulkes, Philipp Grohs

CoRR, 2024

2023

Towards a Foundation Model for Neural Network Wavefunctions.

Michael Scherbela, Leon Gerard, Philipp Grohs

CoRR, 2023

Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural Wavefunctions.

Michael Scherbela, Leon Gerard, Philipp Grohs

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?

Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

SAMPLE: Surface structure search enabled by coarse graining and statistical learning.

Lukas Hörmann, Andreas Jeindl, Alexander T. Egger, Michael Scherbela, Oliver T. Hofmann

Comput. Phys. Commun., 2019