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
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
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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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