Outside Front Cover: Volume 4 Issue 3

IF 24.5 Q1 CHEMISTRY, PHYSICAL
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Abstract

Outside Front Cover: The article of doi:10.1002/idm2.12249 explores how machine learning–driven activity prediction, energy barrier optimization, and data-guided materials design accelerate the discovery of a new generation of electrocatalysts, and discusses their applications in water electrolysis, fuel cells, and carbon dioxide reduction, thereby advancing innovation in sustainable energy solutions.

外封面:第4卷第3期
外封面:文章doi:10.1002/idm2.12249探讨了机器学习驱动的活动预测,能量障碍优化和数据指导材料设计如何加速新一代电催化剂的发现,并讨论了它们在水电解,燃料电池和二氧化碳减排中的应用,从而推进可持续能源解决方案的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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