The review outlines how machine learning accelerates the discovery and design of 2D materials for electrocatalytic reactions, identifying key descriptors and mechanisms that drive performance improvements for sustainable energy conversion. (IMAGE)

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The review outlines how machine learning accelerates the discovery and design of 2D materials for electrocatalytic reactions, identifying key descriptors and mechanisms that drive performance improvements for sustainable energy conversion.

Caption

The review outlines how machine learning accelerates the discovery and design of 2D materials for electrocatalytic reactions, identifying key descriptors and mechanisms that drive performance improvements for sustainable energy conversion.

Credit

Chenchen Qi et al., China University of Petroleum (East China)

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License

CC BY

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