XRDMatch: A Semi-Supervised Learning Framework to Efficiently Discover Room Temperature Lithium Superionic Conductors

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.