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Machine Learning-Driven Nanoscale Synthesis for Electrocatalytic Performance: From Data-Driven Methodologies to Closed-Loop Optimization

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The rational design of functional nanomaterials is fundamentally challenged by complex synthesis-structure-performance relationships and vast design spaces that defy conventional trial-and-error methods. In particular, nanomaterials have become integral to ele... ...