Michael Gastegger

8PUBLICATIONS
42CO-AUTHORS
Deep learningStatistical mechanics in chemistryFormal methods for softwarePhotochemistryBiomolecular modelling and design
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Publications (8)

|Jul 10, 2025
Scalable emulation of protein equilibrium ensembles with generative deep learning.

Sarah Lewis, Tim Hempel, José Jiménez-Luna

|Apr 15, 2023
SchNetPack 2.0: A neural network toolbox for atomistic machine learning.

Kristof T Schütt, Stefaan S P Hessmann, Niklas W A Gebauer

|Jun 02, 2022
Deep learning study of tyrosine reveals that roaming can lead to photodamage.

Julia Westermayr, Michael Gastegger, Dóra Vörös

|Feb 22, 2022
Inverse design of 3d molecular structures with conditional generative neural networks.

Niklas W A Gebauer, Michael Gastegger, Stefaan S P Hessmann

|Dec 15, 2021
SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects.

Oliver T Unke, Stefan Chmiela, Michael Gastegger

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