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20192023
most citedMachine Learning Approaches to Learn HyChem Models

30 citations · 53 across the 9 of their papers we have counts for

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physics.flu-dyn2023

A dynamic combustion model for supersonic turbulent combustion

Xu Zhu, Jian An, Nana Wang +2

Supersonic combustion plays a vital role in various applications, including scramjets, dual-mode ramjets, and pulse detonation engines. However, the flame characteristics can vary…

physics.flu-dyn2023

An investigation of subgrid mixing timescale modelling in LES of supersonic turbulent flames

Jian An, Jieli Wei, Jian Zhanga +2

The predictive numerical simulation of supersonic turbulent combustion, in which the turbulent intensity is high and the fuel/air mixture is near the flammability limit, remains ch…

physics.flu-dyn2021

Neural Differential Equations for Inverse Modeling in Model Combustors

Xingyu Su, Weiqi Ji, Long Zhang +3

Monitoring the dynamics processes in combustors is crucial for safe and efficient operations. However, in practice, only limited data can be obtained due to limitations in the meas…

physics.flu-dyn2021

Large eddy simulation of a supersonic lifted hydrogen flame with sparse-Lagrangian multiple mapping conditioning approach

Zhiwei Huang, Matthew J. Cleary, Zhuyin Ren +1

The Multiple Mapping Conditioning / Large Eddy Simulation (MMC-LES) approach is used to simulate a supersonic lifted hydrogen jet flame, which features shock-induced autoignition,…

physics.flu-dyn2020★ 14 cited

Kinetic Similarity between Extinction Strain Rate and Laminar Flame Speed

Weiqi Ji, Tianwei Yang, Zhuyin Ren +1

Extinction strain rate (ESR) and laminar flame speed (LFS) are fundamental properties of a fuel/air mixture that are often utilized as scaling parameters in turbulent combustion. W…