Engineering and TechnologyNature Communications
Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries
K. Li, J. Wang, et al.
Discover the innovative machine learning workflow that merges quantum calculations with graph convolutional neural networks to identify ionic liquids ideal for ionic polymer electrolytes in lithium metal batteries. This pioneering research, conducted by Kai Li, Jifeng Wang, Yuanyuan Song, and Ying Wang, results in IPE membranes boasting remarkable performance metrics.
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