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Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting

Engineering and Technology

Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting

S. V. Oh, S. Yoo, et al.

This study, conducted by Seung-Hyun Victor Oh, Su-Hyun Yoo, and Woosun Jang, introduces a novel machine learning technique that efficiently navigates the design space of ZnTe-based high-entropy alloys for water splitting, leveraging limited data to predict crucial band edge positions for enhanced photocatalytic efficiency.

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