电化学储能科学发现的基因ai：纳米和微观尺度的最新进展和展望（50/2024）

IF 12.1 2区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Small Pub Date : 2024-12-12 DOI:10.1002/smll.202470371

Shuangqi Li, Fengqi You

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引用次数: 0

摘要

电化学储能

本文章由计算机程序翻译，如有差异，请以英文原文为准。

GenAI for Scientific Discovery in Electrochemical Energy Storage: State-of-the-Art and Perspectives from Nano- and Micro-Scale (Small 50/2024)

查看原文本刊更多论文

GenAI for Scientific Discovery in Electrochemical Energy Storage: State-of-the-Art and Perspectives from Nano- and Micro-Scale (Small 50/2024)

Electrochemical Energy Storage

The image represents the use of Generative AI in the advancement of electrochemical energy storage, including fuel cells, lithium-ion batteries, and flow batteries. It symbolizes the integration of nano-scale material sciences with AI technologies for enhanced performance and sustainability in advanced energy storage systems. More in article number 2406153, Shuangqi Li, Fengqi You.

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来源期刊

Small 工程技术-材料科学：综合

CiteScore

17.70

自引率

3.80%

发文量

1830

审稿时长

2.1 months

期刊介绍： Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.