| ## CPICANN Datasets | |
| This repository contains the data sets described in the CPICANN paper, available at [GitHub](https://github.com/WPEM/CPICANN). | |
| 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: | |
| ```bibtex | |
| @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} | |
| } | |
| ``` |