用自动反应网络对乙烯单碳酸盐形成机制的数据驱动预测
Xiaowei Xie1,2, Evan Walter Clark Spotte-Smith2,3, Mingjian Wen4
1Department of Chemistry, University of California, Berkeley, California 94720, United States.
Journal of the American Chemical Society
|August 11, 2021
概括
在离子电池固体电解质间相中,乙烯单碳酸盐 (LEMC) 的形成受到水需求的限制,这表明乙烯二碳酸盐 (LEDC) 是主要的有机成分. 这会影响电池的性能.
科学领域:
- 材料化学
- 电化学
- 计算材料科学
背景情况:
- 界面反应的特征和预测表面膜的演变是材料化学的一个主要挑战.
- 离子电池中的固体电解质间相 (SEI) 是至关重要的,但其组件和形成机制仍在争论中.
- 了解SEI的组成对于推进离子储能系统至关重要.
研究的目的:
- 调查乙烯单碳酸盐 (LEMC) 或乙烯二碳酸盐 (LEDC) 是LIB SEI的主要有机成分.
- 探索LEMC形成的新反应途径和中间体.
- 评估水存在对SEI组件形成的影响.
主要方法:
- 使用数据驱动的自动化方法,使用反应网络.
- 通过碎片化/再组合系统地生成相关物种,用于热力学反应场景.
- 使用密度函数理论 (DFT) 计算和最短路径查找算法来探索反应路径.
主要成果:
- 确定了之前提出的和几个新的LEMC形成机制,包括涉及LiH生成和LEDC键裂的途径.
- 所有动力学上有利的LEMC形成途径都需要水作为反应物.
- 与LEDC相比,对水的需求大大限制了LEMC的形成.
结论:
- 由于水在LEMC形成中的限制作用,LEDC可能是LIB SEI的主要有机成分.
- 这些发现对离子储能系统的SEI形成和性能有直接影响.
- 这种基于数据的框架广泛适用于其他用于理解表面被动化的电化学系统.
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