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Record link:
http://hdl.handle.net/20.500.12708/139453
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Title:
Combining Neural-Network Force Fields with Nested Sampling - Thermodynamics of Materials
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Citation:
Unglert, N., & Madsen, G. K. H. (2022). Combining Neural-Network Force Fields with Nested Sampling - Thermodynamics of Materials. In
Psi-k 2022 Abstracts Book
(pp. 95–96).
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Publication Type:
Inproceedings - Abstract Book Contribution
en
Konferenzbeitrag - Abstract Book Contribution
de
Language:
English
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Authors:
Unglert, Nico
Madsen, Georg Kent Hellerup
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Organisational Unit:
E165-03-1 - Forschungsgruppe Theoretische Materialchemie
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Published in:
Psi-k 2022 Abstracts Book
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Date (published):
23-Aug-2022
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Event name:
PSI-K CONFERENCE / Lausanne
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Event date:
22-Aug-2022 - 25-Aug-2022
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Event place:
Lausanne, Switzerland
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Number of Pages:
2
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Keywords:
Neural Network Force Fields
en
Research Areas:
Quantum Modeling and Simulation: 20%
Materials Characterization: 40%
Computational Materials Science: 40%
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Science Branch:
1040 - Chemie: 100%
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Appears in Collections:
Conference Paper
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