Charge Transfer into Organic Thin Films: A Deeper Insight through Machine‐Learning‐Assisted Structure Search
Egger, Alexander T., Hörmann, Lukas, Jeindl, Andreas, Scherbela, Michael, Obersteiner, Veronika, Todorović, Milica, Rinke, Patrick, Hofmann, Oliver T.
Published in Advanced science (01.08.2020)
Published in Advanced science (01.08.2020)
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Journal Article
Transferable Neural Wavefunctions for Solids
Gerard, Leon, Scherbela, Michael, Sutterud, Halvard, Foulkes, Matthew, Grohs, Philipp
Year of Publication 13.05.2024
Year of Publication 13.05.2024
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Journal Article
Gold-standard solutions to the Schr\"odinger equation using deep learning: How much physics do we need?
Gerard, Leon, Scherbela, Michael, Marquetand, Philipp, Grohs, Philipp
Year of Publication 19.05.2022
Year of Publication 19.05.2022
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Journal Article
Solving the electronic Schr\"odinger equation for multiple nuclear geometries with weight-sharing deep neural networks
Scherbela, Michael, Reisenhofer, Rafael, Gerard, Leon, Marquetand, Philipp, Grohs, Philipp
Year of Publication 18.05.2021
Year of Publication 18.05.2021
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Journal Article
Transferable Neural Wavefunctions for Solids
Leon, Gerard, Scherbela, Michael, Sutterud, Halvard, Foulkes, Matthew, Grohs, Philipp
Published in arXiv.org (13.05.2024)
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Published in arXiv.org (13.05.2024)
Paper
SAMPLE: Surface structure search enabled by coarse graining and statistical learning
Hörmann, Lukas, Jeindl, Andreas, Egger, Alexander T, Scherbela, Michael, Hofmann, Oliver T
Published in arXiv.org (09.08.2019)
Published in arXiv.org (09.08.2019)
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Journal Article
Leaving the Valley: Charting the Energy Landscape of Metal/Organic Interfaces via Machine Learning
Scherbela, Michael, Hörmann, Lukas, Jeindl, Andreas, Obersteiner, Veronika, Hofmann, Oliver T
Published in arXiv.org (28.04.2018)
Published in arXiv.org (28.04.2018)
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