- Provide physics-driven and data-driven neural network for electromagnetic simulation
- Support CSG geometry model construction and CAD format data processing
- Include multiple scale filtering and dynamic adaptive weighted loss for improving performance
- Provide visualization tools for electromagnetic fields and scattering parameters
- Provide basic toolkits for molecular simulation, including MSA dataset, molecular pre-trained model(service on HUAWEI CLOUD), molecular dynamics。
- MSA dataset:Multiple Sequence Alignment Dataset for protein structure and function research
- Molecular Pre-trained Model:Trained with 1.7 billion compounds and its downstream tasks achieve SOTA
- Molecular Dynamics:Support basic MD functions,such as NPT, NVT, NVE and Minimization
Thanks goes to these wonderful people:
yufan, gaoyiqin, wangzidong, yangkang, lujiale, shibeiji, liuhongsheng, liyang, wengbingya, chuhaotian, huangxiang, wangmin, niningxi, zhangxinfeng, yujialiang, qianjiahong, chenmengyun, yanglijiang, yangyi, huangyupeng, xiayijie, zhangjun, linxiaohan, chendiqing
Contributions of any kind are welcome!