HTSC-2025
We present HTSC-2025, an open-source benchmark of ambient-pressure high-Tc superconductors predicted from 2023–2025, designed to standardize AI evaluation and accelerate physics-informed superconductor discovery.
Crystalline materials included in the HTSC-2025 benchmark
| Material Class | Avg Tc (K) | Max Tc Formula | Space Group | Max Tc (K) | Count |
|---|---|---|---|---|---|
| X2YH6 | 55.4 | Mg2IrH6 | Fm-3m | 160 | 19 |
| LaH10 | 53.0 | KPbB6C6 | Pm-3 | 88 | 12 |
| X2YMH6 | 35.5 | Na2LiAgH6 | Fm-3m | 86 | 23 |
| MXH3 | 35.3 | SrAuH3 | Pm-3m | 132 | 15 |
| M3XH8 | 20.4 | Mg3OsH8 | Pm-3m | 73 | 18 |
| Others | 7.9 | MgB2 | P63/mmc | 39.0 | 53 |
| Total | 27.3 | Mg2IrH6 | Fm-3m | 160 | 140 |
Citation
If you use the HTSC-2025 dataset in your research, please cite our work:
@misc{han2025htsc2025benchmarkdatasetambientpressure,
title={HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction},
author={Xiao-Qi Han and Ze-Feng Gao and Xin-De Wang and Zhenfeng Ouyang and Peng-Jie Guo and Zhong-Yi Lu},
year={2025},
eprint={2506.03837},
archivePrefix={arXiv},
primaryClass={cond-mat.supr-con},
url={https://arxiv.org/abs/2506.03837},
}