Record link: 
http://hdl.handle.net/20.500.12708/222348
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Title: 
Influence of defects and shape of thin InAs nanowires on their thermal conductivity, assessed via machine-learning potentials
en
Citation: 
Wieser, S., Cen, Y., Madsen, G. K. H., & Carrete, J. (2025, March 20). Influence of defects and shape of thin InAs nanowires on their thermal conductivity, assessed via machine-learning potentials [Conference Presentation]. DPG Spring Meeting of the Condensed Matter Section (SKM) 2025, Regensburg, Germany.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Wieser, Sandro 
Cen, YuJie 
Madsen, Georg Kent Hellerup 
Carrete, Jesus 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
E056-04 - Fachbereich TU-DX: Towards Applications of 2D Materials 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Date (published): 
20-Mar-2025
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Event name: 
DPG Spring Meeting of the Condensed Matter Section (SKM) 2025 
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Event date: 
16-Mar-2025 - 21-Mar-2025
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Event place: 
Regensburg, Germany
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Keywords: 
heat transport; Nanowires; molecular dynamics
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Research Areas: 
Modeling and Simulation: 50%
Computational Materials Science: 50%
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Science Branch: 
1040 - Chemie: 100%
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