Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Thank you for your interest in our work. For more details, please refer to the paper Theory-guided hard constraint projection (HCP).
Citation information: Chen, Y., Huang, D., Zhang, D., Zeng, J., Wang, N., Zhang, H., & Yan, J. (2021). Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. Journal of Computational Physics, 110624.
The code structure is shown in the illustration.
Researchers can modify the experiment setting through the configure.py file. This code can implement HCP, TgNN and conventional ANN respectively for comparative experiments.
If you have any questions, please feel free to contact me. E-mail: cyt_cn@126.com