70 citations · 74 across the 4 of their papers we have counts for
4 papers
DeepFlame: A deep learning empowered open-source platform for reacting flow simulations
Runze Mao, Minqi Lin, Yan Zhang +3
In this work, we introduce DeepFlame, an open-source C++ platform with the capabilities of utilising machine learning algorithms and pre-trained models to solve for reactive flows.…
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…
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics
Zhiwei Wang, Yaoyu Zhang, Enhan Zhao +4
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics is proposed and validated using high-temperature auto-ignitions, perfectly stirred reactors…
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…