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T. Guan

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Review Open access Jul 2026

From Experiment-Driven to Theory- and Data-Driven: A Computational Paradigm Shift in High-Entropy Electrocatalyst Design.

A compact DFT-ML-MD closed-loop framework is proposed that links atomic-scale energetics to device-level metrics, with the aim of guiding the accelerated discovery and deployment of high-activity, durable high-entropy electrocatalysts for sustainable energy.

Fangshi Fan, Wei-Wei Cai, Zhen Huang et al. · 0 citations

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