CPICANN Datasets
This repository contains the data sets described in the CPICANN paper, available at GitHub.
CPICANN is evaluated on four distinguished datasets, denoted as D1, D2, D3, and D4, with the following characteristics:
- D1: 0% background ratio and Gaussian noise (σ=0.25) (v chosen in paper)
- D2: 3% background ratio and Gaussian noise (σ=0.25)
- D3: 0% background ratio and Gaussian noise (σ=1)
- D4: 0% background ratio and Gaussian noise (σ=3)
Contribution and suggestions are always welcome. You can also contact the authors for research collaboration.
📚 Citation & License
Commercial use is strictly prohibited.
All access will be logged.
If you use this dataset in your research, please cite all the following works:
@article{zhang2024crystallographic,
title={Crystallographic phase identifier of a convolutional self-attention neural network (CPICANN) on powder diffraction patterns},
author={Zhang, Shouyang and Cao, Bin and Su, Tianhao and Wu, Yue and Feng, Zhenjie and Xiong, Jie and Zhang, Tong-Yi},
journal={IUCrJ},
volume={11},
number={Pt 4},
pages={634},
year={2024}
}
@inproceedings{binsimxrd,
title={SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark},
author={Bin, CAO and Liu, Yang and Zheng, Zinan and Tan, Ruifeng and Li, Jia and Zhang, Tong-yi},
booktitle={The Thirteenth International Conference on Learning Representations}
}