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Oliver Thorsten Unke

2 accepted papers

2022

So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems

NeurIPS 2022accept

The application of machine learning methods in quantum chemistry has enabled the study of numerous chemical phenomena, which are computationally intractable with traditional ab-initio methods. However, some quantum mechanical properties of molecules and materials depend on non-local electronic effec…

2021

SE(3)-equivariant prediction of molecular wavefunctions and electronic densities

NeurIPS 2021poster

Machine learning has enabled the prediction of quantum chemical properties with high accuracy and efficiency, allowing to bypass computationally costly ab initio calculations. Instead of training on a fixed set of properties, more recent approaches attempt to learn the electronic wavefunction (or de…

Cited by 118SourcePDFScholar