activity
20192023
most citedMachine Learning Approaches to Learn HyChem Models

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

collaborators

9 papers

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.chem-ph2022★ 2 cited

Kinetics Parameter Optimization via Neural Ordinary Differential Equations

Xingyu Su, Weiqi Ji, Jian An +3

Chemical kinetics mechanisms are essential for understanding, analyzing, and simulating complex combustion phenomena. In this study, a Neural Ordinary Differential Equation (Neural…

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.chem-ph2021★ 5 cited

Arrhenius.jl: A Differentiable Combustion SimulationPackage

Weiqi Ji, Xingyu Su, Bin Pang +6

Combustion kinetic modeling is an integral part of combustion simulation, and extensive studies have been devoted to developing both high fidelity and computationally affordable mo…

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.chem-ph2021★ 30 cited

Machine Learning Approaches to Learn HyChem Models

Weiqi Ji, Julian Zanders, Ji-Woong Park +1

The HyChem approach has recently been proposed for modeling high-temperature combustion of real, multi-component fuels. The approach combines lumped reaction steps for fuel thermal…

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…

stat.ML2019★ 2 cited

Uncertainty Propagation in Deep Neural Network Using Active Subspace

Weiqi Ji, Zhuyin Ren, Chung K. Law

The inputs of deep neural network (DNN) from real-world data usually come with uncertainties. Yet, it is challenging to propagate the uncertainty in the input features to the DNN p…