Browse by Author Schütt, Kristof T.
Showing results 1 to 8 of 8
| Preview | Issue Date | Title | Author(s) | Editor(s) |
| 26-Jul-2021 | Datasets: Machine learning of solvent effects on molecular spectra and reactions | Gastegger, Michael; Schütt, Kristof T.; Müller, Klaus-Robert | - |
| 25-Sep-2019 | Hamiltonian datasets: "Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions"" | Schütt, Kristof T.; Gastegger, Michael; Tkatchenko, Alexandre; Müller, Klaus-Robert; Maurer, Reinhard J. | - |
 | 11-Mar-2021 | Machine learning force fields | Unke, Oliver T.; Chmiela, Stefan; Sauceda, Huziel E.; Gastegger, Michael; Poltavsky, Igor; Schütt, Kristof T.; Tkatchenko, Alexandre; Müller, Klaus-Robert | - |
 | 2017 | Machine learning of accurate energy-conserving molecular force fields | Chmiela, Stefan; Tkatchenko, Alexandre; Sauceda, Huziel E.; Poltavsky, Igor; Schütt, Kristof T.; Müller, Klaus-Robert | - |
 | 23-Jul-2021 | Machine learning of solvent effects on molecular spectra and reactions | Gastegger, Michael; Schütt, Kristof T.; Müller, Klaus-Robert | - |
| 21-Jun-2021 | Perspective on integrating machine learning into computational chemistry and materials science | Westermayr, Julia; Gastegger, Michael; Schütt, Kristof T.; Maurer, Reinhard J. | - |
 | 10-Sep-2019 | Quantum-Chemical Insights from Interpretable Atomistic Neural Networks | Schütt, Kristof T.; Gastegger, Michael; Tkatchenko, Alexandre; Müller, Klaus-Robert | - |
 | 14-Dec-2021 | SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects | Unke, Oliver T.; Chmiela, Stefan; Gastegger, Michael; Schütt, Kristof T.; Sauceda, Huziel E.; Müller, Klaus-Robert | - |