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创新研报|2024年AI助力锂电池关键材料研发报告
Alexander Li
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本报告介绍了使用人工智能技术进行电池材料研究的方法,包括基于数据找新材料、描述符构造、特征重要性分析等方面。研究结果表明,掺杂元素的价态、局部超交换作用、键长变化、晶胞体积变化等都会影响电池材料性能。同时,使用物理驱动的机器学习可以突破多尺度仿真问题。
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