Tentative exploration of artificial intelligence in developing and optimizing fuel cell catalysts
With the advancement of clean energy technology,the development of fuel cell technology and catalyst technology has become a critical priority in modem technology.Artificial Intelligence(AI)is emerging as a transformative tool with its significant potential in the design and optimization of catalysts.This review explores AI's application in fuel cell catalyst research,beginning with an overview of AI technology,including its definition,origins,tools,and applications.It then examines the use of AI for the efficient design of novel catalysts and the accurate prediction of their performance.Additionally,the paper investigates AI's role in analyzing the reaction mechanisms of fuel cell catalysts and the interactions at reactive surface sites.The comprehensive discussion highlights AI's contributions to the research and development of fuel cell catalysts.By constructing data-driven AI models,the paper demonstrates AI's advantages in the rapid screening of efficient catalysts and elucidating the structure-performance relationship.This approach offers innovative methods for the preparation of efficient and controllable catalysts.The review provides new insights into fuel cell catalyst research and demonstrates AI's preliminary applications in catalytic science.
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