Michael Scherbela

11 papers A* 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems. CoRR Michael Scherbela, Nicholas Gao, Philipp Grohs, Stephan Günnemann
2025	J	`jnl`	Transferable neural wavefunctions for solids. Nat. Comput. Sci. Leon Gerard, Michael Scherbela, Halvard Sutterud, W. Matthew C. Foulkes, Philipp Grohs
2024	J	`jnl`	Transferable Neural Wavefunctions for Solids. CoRR Leon Gerard, Michael Scherbela, Halvard Sutterud, W. Matthew C. Foulkes, Philipp Grohs
2023	J	`jnl`	Towards a Foundation Model for Neural Network Wavefunctions. CoRR Michael Scherbela, Leon Gerard, Philipp Grohs
2023	A*	`conf`	Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural Wavefunctions. NeurIPS Michael Scherbela, Leon Gerard, Philipp Grohs
2023	J	`jnl`	Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural Wavefunctions. CoRR Michael Scherbela, Leon Gerard, Philipp Grohs
2022	A*	`conf`	Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? NeurIPS Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs
2022	J	`jnl`	Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? CoRR Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs
2022	J	`jnl`	Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks. Nat. Comput. Sci. Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs
2021	J	`jnl`	Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks. CoRR Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs
2019	J	`jnl`	SAMPLE: Surface structure search enabled by coarse graining and statistical learning. Comput. Phys. Commun. Lukas Hörmann, Andreas Jeindl, Alexander T. Egger, Michael Scherbela, Oliver T. Hofmann