3 citations · 5 across the 9 of their papers we have counts for
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physics.flu-dyn2023★ 3 cited
A comprehensive study on the accuracy and generalization of deep learning-generated chemical ODE integrators
Han Li, Ruixin Yang, Min Zhang +2
The application of deep neural networks (DNNs) holds considerable promise as a substitute for the direct integration of chemical source terms in combustion simulations. However, ch…
cs.CE2023
An integrated framework for accelerating reactive flow simulation using GPU and machine learning models
Runze Mao, Yingrui Wang, Min Zhang +5
Recent progress in artificial intelligence (AI) and high-performance computing (HPC) have brought potentially game-changing opportunities in accelerating reactive flow simulations.…
physics.flu-dyn2023
GPU-accelerated Large Eddy Simulation of turbulent stratified flames with machine learning chemistry
Min Zhang, Runze Mao, Han Li +2
Stratified premixed combustion, known for its capability to expand flammability limits and reduce overall-lean combustion instability, has been widely adopted to comply with increa…