most citedPredicting Superconducting Transition Temperature through Advanced Machine Learning and Innovative Feature Engineering

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cond-mat.str-el2025

AI-Driven Discovery of High-Temperature Superconductors via Materials Genome Initiative and High-Throughput Screening

H. Gashmard, H. Shakeripour, M. Alaei

Inspired by nature, this study employs the Materials Genome Initiative to identify key components of HTSC superconductors. Integrating AI with high-throughput screening, we uncover…