化学信息学
材料信息学
范围(计算机科学)
电化学储能
计算机科学
电池(电)
信息学
电化学能量转换
数据科学
工程信息学
领域(数学)
系统工程
纳米技术
健康信息学
电化学
材料科学
电气工程
工程类
电极
化学
数学
物理化学
公共卫生
功率(物理)
量子力学
超级电容器
程序设计语言
医学
物理
计算化学
护理部
纯数学
作者
Igor I. Baskin,Yair Ein‐Eli
标识
DOI:10.1002/aenm.202202380
摘要
Abstract Electrochemical processes underlie the functioning of electrochemical devices for energy storage and conversion. In this paper, electrochemoinformatics is defined as a scientific discipline, a part of computational electrochemistry, dealing with the application of information technologies, specifically data science, machine learning (ML), and artificial intelligence, to solve problems related to electrochemical processes, including the development of materials and electrochemical devices. Electrochemoinformatics is closely related to chemoinformatics and materials informatics and relies on the technologies they use. The definitions and the basics of chemoinformatics and materials informatics are reviewed with an emphasis on the role of data science, data representation, the use of ML methods, and molecular and material descriptors. The third constituent part of electrochemoinformatics is full‐cell informatics, which deals with the performance and design of whole electrochemical devices. The article focuses on the use of electrochemoinformatics in battery science and technology (battery informatics), including the development of electrolyte and electrode materials, battery performance monitoring, modeling, and design. The scope and the main challenges facing electrochemoinformatics are discussed.
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