XRDMatch: a semi-supervised learning framework to efficiently discover room temperature lithium superionic conductors
Zheng Wan, Zhenying Chen, Hao Chen, Yizhi Jiang, Jinhuan Zhang, Yidong Wang, Jindong Wang, Hao Sun, Zhongjie Zhu, Jinhui Zhu, Linyi Yang, Wei Ye, Shikun Zhang, Xing Hua Xie, Yue Zhang, Xiaodong Zhuang, Xiao Dong He, Jinrong Yang · Energy & Environmental Science · 2024
We propose XRDMatch, a semi-supervised learning framework that integrates consistency regularization and pseudo-labeling. Using X-ray diffraction patterns as descriptors, it effectively addresses data scarcity by leveraging abundant unlabeled data.