Published October 25, 2024
| Version v1
Dataset
Open
Datasets for Manuscript: Neural-Network-Assisted Detection of Superconducting Topological Semimetals
Authors/Creators
- 1. CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
- 2. Institute of Condensed Matter Physics and Materials, School of Physics, Peking University, Beijing, China
Contributors
Project leader:
- 1. CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
Description
This file contains datasets for an original machine-learning-approach that we developed for the identification of superconducting topological semimetals.
Files
data.zip
Additional details
Funding
- National Natural Science Foundation of China
- Topological Quantum Hall Hybrids (拓扑量子霍尔混合器件) 12074392
Software
- Development Status
- Active