Record link: 
http://hdl.handle.net/20.500.12708/193771
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Title: 
Neural-Network-Based Nested Sampling for Efficient Exploration of Configuration Space: A Silicon Case Study
en
Citation: 
Unglert, N., Carrete Montana, J., Pártay, L. B., & Madsen, G. K. H. (2023, February 12). Neural-Network-Based Nested Sampling for Efficient Exploration of Configuration Space: A Silicon Case Study [Poster Presentation]. 2nd Annual PhD Workshop (TACO 2023), JUFA Schladming/Stmk, Austria. http://hdl.handle.net/20.500.12708/193771
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Publication Type: 
Presentation - Poster Presentation
en
Language: 
English
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Authors: 
Unglert, Nico 
Carrete Montana, Jesús 
Pártay, Livia B. 
Madsen, Georg Kent Hellerup 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
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Date (published): 
12-Feb-2023
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Event name: 
2nd Annual PhD Workshop (TACO 2023) 
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Event date: 
12-Feb-2023 - 15-Feb-2023
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Event place: 
JUFA Schladming/Stmk, Austria
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Keywords: 
Nested Sampling; Neural Network; Phase diagrams
en
Research Areas: 
Computational Materials Science: 100%
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Science Branch: 
1040 - Chemie: 50%
1020 - Informatik: 25%
1030 - Physik, Astronomie: 25%
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