540 citations · 833 across the 33 of their papers we have counts for
Showing physics.chem-phShow all
2 papers · 1 filter
physics.chem-ph2022★ 1 cited
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics
Tianhan Zhang, Yuxiao Yi, Yifan Xu +4
Machine learning has long been considered as a black box for predicting combustion chemical kinetics due to the extremely large number of parameters and the lack of evaluation stan…
physics.chem-ph2020★ 2 cited
A deep learning-based ODE solver for chemical kinetics
Tianhan Zhang, Yaoyu Zhang, Weinan E +1
Developing efficient and accurate algorithms for chemistry integration is a challenging task due to its strong stiffness and high dimensionality. The current work presents a deep l…