The project of Intelligent Combustion is to develop algorithms based on deep learning for combustion study. Currently, we have two specific tasks.
DeePMR: DeeP Model Reduction, develop DNN-based algorithms for reducing chemical reaction mechanisms.
DeePCK: DeeP chemical kinetics, develop DNN-based surrogate model to accelerate the simulation of chemical kinetics.
This open project will release various models based on our algorithms.
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Zhi-Qin John Xu, associate professor, Institute of Natural Sciences/School of Mathematical Sciences, Shanghai Jiao Tong University. Homepage: https://ins.sjtu.edu.cn/people/xuzhiqin and Email: xuzhiqin@sjtu.edu.cn
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Tianhan Zhang, associate professor. Homepage: https://faculty.sustech.edu.cn/zhangth and Email: zhangth@sustech.edu.cn
- Yaoyu Zhang, associate Professor, Institute of Natural Sciences/School of Mathematical Sciences, Shanghai Jiao Tong University. Homepage: https://ins.sjtu.edu.cn/peoples/zhangyaoyu
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Liangkai Hang (Shanghai Jiao Tong University)
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Pengxiao Lin (Shanghai Jiao Tong University)
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Chenyang Ren (Shanghai Jiao Tong University)
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Zhiwei Wang (Shanghai Jiao Tong University)
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Tinghao Wang (Peking University)
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Junjie Yao (Shanghai Jiao Tong University)
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Yuxiao Yi (Shanghai Jiao Tong University)
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Xumeng Zhang (Shanghai Jiao Tong University)
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Enhan Zhao (Peking University)