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A multi-scale sampling method for accurate and robust deep neural
  network to predict combustion chemical kinetics
v1v2 (latest)

A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics

Combustion and Flame (Combust. Flame), 2022
9 January 2022
Tianhan Zhang
Yuxiao Yi
Yifan Xu
Z. X. Chen
Yaoyu Zhang
E. Weinan
Zhi-Qin John Xu
ArXiv (abs)PDFHTML

Papers citing "A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics"

2 / 2 papers shown
FlamePINN-1D: Physics-informed neural networks to solve forward and
  inverse problems of 1D laminar flames
FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flamesCombustion and Flame (CF), 2024
Jiahao Wu
Su Zhang
Yuxin Wu
Guihua Zhang
Xin Li
Hai Zhang
AI4CEPINN
123
7
0
07 Jun 2024
Loss Jump During Loss Switch in Solving PDEs with Neural Networks
Loss Jump During Loss Switch in Solving PDEs with Neural NetworksCommunications in Computational Physics (Commun. Comput. Phys.), 2024
Zhiwei Wang
Lulu Zhang
Zhongwang Zhang
Z. Xu
255
2
0
06 May 2024
1
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