25 citations · 25 across the 2 of their papers we have counts for
4 papers
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Oliver T. Unke, Mihail Bogojeski, Michael Gastegger +3
Machine learning has enabled the prediction of quantum chemical properties with high accuracy and efficiency, allowing to bypass computationally costly ab initio calculations. Inst…
Learning more expressive joint distributions in multimodal variational methods
Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
Data often are formed of multiple modalities, which jointly describe the observed phenomena. Modeling the joint distribution of multimodal data requires larger expressive power to…
Forecasting Industrial Aging Processes with Machine Learning Methods
Mihail Bogojeski, Simeon Sauer, Franziska Horn +1
Accurately predicting industrial aging processes makes it possible to schedule maintenance events further in advance, ensuring a cost-efficient and reliable operation of the plant.…
Efficient prediction of 3D electron densities using machine learning
Mihail Bogojeski, Felix Brockherde, Leslie Vogt-Maranto +4
The Kohn-Sham scheme of density functional theory is one of the most widely used methods to solve electronic structure problems for a vast variety of atomistic systems across diffe…