Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloys
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DOI: 10.1039/d3nr01442h
Abstract: Predictive materials design of high-performance alloy electrocatalysts is a grand challenge in hydrogen production via the water electrolysis. The vast combinatorial space of element substitutions in alloy electrocatalysts offers a... read more here.
Keywords: machine learning; efficient machine; learning models; accurate efficient ... See more keywords