University of Science and Technology Beijing; University of Science and Technology Beijing - Beijing Advanced Innovation Center for Materials Genome Engineering
High temperature superconductivity is one of the most intriguing mysteries in physics. The debate over the pairing mechanism calls for more experimental evidence to provide some key criteria or clues. In this work, based on a materials informatics investigation, we present a universal correlation between the su-perconducting transition temperature (Tc) and electron orbital hybridization, which explains how the Tc varies in diverse materials. It implies that the van der Waals interaction is as crucial as the super-exchange interaction for the electron pairing in high temperature superconductors. And it also provides a convenient guidance for exploring superior superconductors.
Keywords: superconductivity, transition temperature, high temperature superconductors, pairing mechanism, van der Waals interaction, machine learning, first-principles calculation, materials informatics
Liu, Yang and Huang, Haiyou and Yuan, Jie and Zhang, Yan and Feng, Hongyuan and Chen, Ning and Li, Yang and Teng, Jiao and Jin, Kui and Xue, Dezhen and Su, Yanjing, Exploring the Electronic Origin of High Temperature Superconductivity Via Machine Learning. Available at SSRN: https://ssrn.com/abstract=4058696 or http://dx.doi.org/10.2139/ssrn.4058696
This version of the paper has not been formally peer reviewed.
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