← Search

Andreas Burger

2 accepted papers

2026

Coupled Cluster con MoLe: Molecular Orbital Learning for Neural Wavefunctions

ICML 2026poster

Density functional theory (DFT) is the most widely used method for calculating molecular properties; however, its accuracy is often insufficient for quantitative predictions. Coupled cluster (CC) theory is the most successful method for achieving accuracy beyond DFT and predicting properties that cl…

Cited by 0SourceScholar
2026

Derivative Informed Learning of Exchange-Correlation Functionals

ICML 2026poster

Machine-learned (ML) XC-functionals promise improved accuracy, but overfit to training energies and basis sets without proper regularization. We introduce Derivative Informed XC-Loss (DI-Loss), a loss that regularizes ML-XC training by supervising energy gradients on the Grassmannian of density matr…

Cited by 0SourceScholar