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Michael Scherbela

University of Vienna

5H-index
15Paper Count
145Citation Count
Published Papers 7
Publication Date
Transferable neural wavefunctions for solids
err2025-10-22
err0
errOAAI
errL. Gerard; M. Scherbela; H. Sutterud; W. M. C. Foulkes; P. Grohs
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Towards a transferable fermionic neural wavefunction for molecules
err2024-01-02
err6
errOAAI
errScherbela, Michael; Gerard, Leon; Grohs, Philipp
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Solving the electronic Schrodinger equation for multiple nuclear geometries with weight-sharing deep neural networks
err2022-05-19
err30
errOAAI
errScherbela, Michael; Reisenhofer, Rafael; Gerard, Leon; Marquetand, Philipp; Grohs, Philipp
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Charge Transfer into Organic Thin Films: A Deeper Insight through Machine-Learning-Assisted Structure Search
err2020-06-28
err27
errOAAI
errEgger, Alexander T.; Hoermann, Lukas; Jeindl, Andreas; Scherbela, Michael; Obersteiner, Veronika; Todorovic, Milica; Rinke, Patrick; Hofmann, Oliver T.
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SAMPLE: Surface structure search enabled by coarse graining and statistical learning
err2019-11-01
err27
errOAAI
errHoermann, Lukas; Jeindl, Andreas; Egger, Alexander T.; Scherbela, Michael; Hofmann, Oliver T.
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Charting the energy landscape of metal/organic interfaces via machine learning
err2018-04-17
err18
errOAAI
errScherbela, Michael; Hoermann, Lukas; Jeindl, Andreas; Obersteiner, Veronika; Hofmann, Oliver T.
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Structure Prediction for Surface-Induced Phases of Organic Monolayers: Overcoming the Combinatorial Bottleneck
err2017-06-30
err27
errOAAI
errObersteiner, Veronika; Scherbela, Michael; Hoermann, Lukas; Wegner, Daniel; Hofmann, Oliver T.
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