<div class="csl-bib-body">
<div class="csl-entry">Heid, E. (2025). Uncertainty and error quantification in machine learning potentials. In <i>Uncertainty quantification in atomistic modeling: From uncertainty-aware density functional theory to machine learning : November 25 - 28, 2025 : CECAM-HQ-EPFL, Lausanne, Switzerland</i> (pp. 15–15).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/223007
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dc.language.iso
en
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dc.subject
graph models
en
dc.subject
molecular AI
en
dc.subject
reaction AI
en
dc.title
Uncertainty and error quantification in machine learning potentials
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.description.startpage
15
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dc.description.endpage
15
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dc.type.category
Abstract Book Contribution
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tuw.booktitle
Uncertainty quantification in atomistic modeling: From uncertainty-aware density functional theory to machine learning : November 25 - 28, 2025 : CECAM-HQ-EPFL, Lausanne, Switzerland