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HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction

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HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction 论文配图

Xiao-Qi Han, Ze-Feng Gao#, Xin-De Wang, Zhenfeng Ouyang, Peng-Jie Guo, Zhong-Yi Lu

Chinese Physics B, 34(10): 100301, 2025

摘要

In this work, we present the HTSC-2025, an ambient-pressure high-temperature superconducting benchmark dataset. This comprehensive compilation encompasses theoretically predicted superconducting materials discovered by theoretical physicists from 2023 to 2025 based on BCS superconductivity theory, including the renowned XYH6 system, perovskite MXH3 system, M3XH8 system, cage-like BCN-doped metal atomic systems derived from LaH structural evolution, and two-dimensional honeycomb-structured systems evolving from MgB2.