Record link: 
http://hdl.handle.net/20.500.12708/227740
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Title: 
Neural Network–Backed Evolutionary Search for Novel (2×4) SrTiO3 (110) Surface Reconstructions from Random Initial Structures
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Citation: 
Doloszeski, E., Wanzenböck, R., & Madsen, G. K. H. (2025). Neural Network–Backed Evolutionary Search for Novel (2×4) SrTiO3 (110) Surface Reconstructions from Random Initial Structures. In PSI-K 2025 Book of Abstracts (pp. 214–214).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Doloszeski, Eva 
Wanzenböck, Ralf 
Madsen, Georg Kent Hellerup 
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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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Published in: 
PSI-K 2025 Book of Abstracts 
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Date (published): 
Aug-2025
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Event name: 
PSI-K 2025 
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Event date: 
25-Aug-2025 - 28-Aug-2025
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Event place: 
Switzerland
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Number of Pages: 
1
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Keywords: 
surface reconstruction; strontium titanate; evolutionary search
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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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Appears in Collections:
Conference Paper

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