supercon_tc_alex
Abstract
This dataset originates from the work of Cerqueira et al. as described in “Searching Materials Space for Hydride Superconductors at Ambient Pressure” (https://doi.org/10.1002/adfm.202404043). The files included here were retrieved following the authors’ publicly documented procedures and scripts provided in their GitHub repository:https://github.com/hyllios/utils/tree/refs/heads/main/models/supercond_modnet_model We use this dataset in our AtomBench study (https://arxiv.org/abs/2510.16165). This Figshare entry exists solely to provide a stable, citable DOI for the unmodified dataset to support reproducibility and long-term accessibility. I do not claim authorship or original creation of the data; my contribution is limited to aggregation, verification, and archival hosting.
Fields of Study & Subjects
Machine Learning in Materials Science
High-pressure geophysics and materials
Hydrogen Storage and Materials
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset