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Machine-learning-accelerated density functional theory screening of Cu-based high-entropy alloys for carbon dioxide reduction to ethylene
Machine-learning-accelerated density functional theory screening of Cu-based high-entropy alloys for carbon dioxide reduction to ethylene
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Date
2024-11-26
Authors
Meena Rittiruam
Pisit Khamloet
Sirapat Tiwtusthada
Annop Ektarawong
Tinnakorn Saelee
Chayanon Atthapak
Patcharaporn Khajondetchairit
Björn Alling
Piyasan Praserthdam
Supareak Praserthdam
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Applied Surface Science
Abstract
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Keywords
Catalytic Processes in Materials Science
,
Machine Learning in Materials Science
,
CO2 Reduction Techniques and Catalysts
Citation
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https://dspace.kmitl.ac.th/handle/123456789/14805
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