Record link: 
http://hdl.handle.net/20.500.12708/232226
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Title: 
Accelerating Materials Discovery: A High-Throughput, AI-Driven Workflow for Photocatalyst Optimization
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Citation: 
Tanis, Y., Khairunnisa, S. Z., Guselnikova, O., & Valtiner, M. (2026, April 28). Accelerating Materials Discovery: A High-Throughput, AI-Driven Workflow for Photocatalyst Optimization [Poster Presentation]. Conference on Applied Surface Technology (COAST 2026), Wien, Austria.
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Publication Type: 
Presentation - Poster Presentation
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Language: 
English
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Authors: 
Tanis, Yagmur 
Khairunnisa, Sarah Zulfa 
Guselnikova, Olga 
Valtiner, Markus 
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Organisational Unit: 
E134-02 - Forschungsbereich Applied Interface Physics 
E056-12 - Fachbereich ENROL DP 
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Date (published): 
28-Apr-2026
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Event name: 
Conference on Applied Surface Technology (COAST 2026) 
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Event date: 
27-Apr-2026 - 29-Apr-2026
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Event place: 
Wien, Austria
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Keywords: 
Photocatalysis; Plasmonic Au nanoparticles; Bayesian optimization; AI-driven materials discovery; Circular Economy
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Research Areas: 
Surfaces and Interfaces: 60%
Efficient Utilisation of Material Resources: 40%
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Science Branch: 
1040 - Chemie: 50%
1030 - Physik, Astronomie: 50%
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