313 citations · 857 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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…
Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks
Weiqi Ji, Franz Richter, Michael J. Gollner +1
Modeling the burning processes of biomass such as wood, grass, and crops is crucial for the modeling and prediction of wildland and urban fire behavior. Despite its importance, the…
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…