Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks

W Ji, F Richter, MJ Gollner, S Deng - Combustion and Flame, 2022 - Elsevier
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 …

ReactionMechanismSimulator. jl: A modern approach to chemical kinetic mechanism simulation and analysis

MS Johnson, HW Pang, AM Payne… - International Journal of …, 2024 - Wiley Online Library
We present ReactionMechanismSimulator. jl (RMS), a modern differentiable software for the
simulation and analysis of chemical kinetic mechanisms, including multiphase systems …

Machine learned compact kinetic models for methane combustion

M Kelly, M Fortune, G Bourque, S Dooley - Combustion and Flame, 2023 - Elsevier
Chemical kinetic models are an essential component in the development and optimisation of
combustion devices through their coupling to multi-dimensional simulations such as …

SGD-based optimization in modeling combustion kinetics: Case studies in tuning mechanistic and hybrid kinetic models

W Ji, X Su, B Pang, Y Li, Z Ren, S Deng - Fuel, 2022 - Elsevier
Chemical kinetic modeling is an integral part of combustion simulation, and extensive efforts
have been devoted to developing high-fidelity yet computationally affordable models …

[PDF][PDF] Machine learning for combustion chemistry

T Echekki, A Farooq, M Ihme… - Machine learning and its …, 2023 - library.oapen.org
Abstract Machine learning provides a set of new tools for the analysis, reduction and
acceleration of combustion chemistry. The implementation of such tools is not new …

Data-driven approaches to learn HyChem models

W Ji, J Zanders, JW Park… - Internal …, 2021 - asmedigitalcollection.asme.org
Abstract The HyChem (Hybrid Chemistry) approach has recently been proposed for
modeling high-temperature combustion of real, multi-component fuels. The approach …

Machine learning approaches to learn HyChem models

W Ji, J Zanders, JW Park, S Deng - arXiv preprint arXiv:2104.07875, 2021 - arxiv.org
The HyChem approach has recently been proposed for modeling high-temperature
combustion of real, multi-component fuels. The approach combines lumped reaction steps …

Uncertainty Quantification for Ignition Delay Times using Polynomial Chaos Expansion

RJ Clark, MD Hageman, MS Knadler… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1835. vid A combination of Monte
Carlo sampling and polynomial chaos expansion (PCE) techniques were used to propagate …

Neural Differential Equations for Inverse Modeling in Model Combustors

X Su, W Ji, L Zhang, W Wu… - ASME …, 2021 - asmedigitalcollection.asme.org
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 measurable …