Data for Identifying Knot Types of Polymer Conformations by Machine Learning
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下载链接：
https://zenodo.org/record/10938827
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资源简介：
Training Data and Generalizability Testsets
For the publication PhysRevE.101.022502
@article{PhysRevE.101.022502,
title = {Identifying knot types of polymer conformations by machine learning},
author = {Vandans, Olafs and Yang, Kaiyuan and Wu, Zhongtao and Dai, Liang},
journal = {Phys. Rev. E},
volume = {101},
issue = {2},
pages = {022502},
numpages = {10},
year = {2020},
month = {Feb},
publisher = {American Physical Society},
doi = {10.1103/PhysRevE.101.022502},
url = {https://link.aps.org/doi/10.1103/PhysRevE.101.022502}
}
GitHub source code demo using this dataset:
🥨 https://github.com/CompSoftMatterBiophysics-CityU-HK/Identify-Knot-Types-by-ML-PRE2020
The above GitHub repo provide a docker, training code, best model with weights, and two showcases of generalizability.
创建时间：
2024-04-09
