Combustion, chemistry, and carbon neutrality

K Kohse-Höinghaus - Chemical Reviews, 2023 - ACS Publications
Combustion is a reactive oxidation process that releases energy bound in chemical
compounds used as fuels─ energy that is needed for power generation, transportation …

Modeling, analysis, and optimization under uncertainties: a review

E Acar, G Bayrak, Y Jung, I Lee, P Ramu… - Structural and …, 2021 - Springer
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

[图书][B] Advanced reduced order methods and applications in computational fluid dynamics

G Rozza, G Stabile, F Ballarin - 2022 - SIAM
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …

Bayesian chemical reaction neural network for autonomous kinetic uncertainty quantification

Q Li, H Chen, BC Koenig, S Deng - Physical Chemistry Chemical …, 2023 - pubs.rsc.org
Chemical reaction neural network (CRNN), a recently developed tool for autonomous
discovery of reaction models, has been successfully demonstrated on a variety of chemical …

Progress and prospects of artificial intelligence development and applications in supersonic flow and combustion

J Le, M Yang, M Guo, Y Tian, H Zhang - Progress in Aerospace Sciences, 2024 - Elsevier
Due to the significant improvement in computing power and the rapid advancement of data
processing technologies, artificial intelligence (AI) has introduced new tools and …

Kinetics parameter optimization of hydrocarbon fuels via neural ordinary differential equations

X Su, W Ji, J An, Z Ren, S Deng, CK Law - Combustion and Flame, 2023 - Elsevier
Chemical kinetics mechanisms are essential for understanding, analyzing, and simulating
complex combustion phenomena. In this study, a neural ordinary differential equation …

Classification and computation of extreme events in turbulent combustion

M Hassanaly, V Raman - Progress in Energy and Combustion Science, 2021 - Elsevier
In the design of practical combustion systems, ensuring safety and reliability is an important
requirement. For instance, reliably avoiding lean blowout, flame flashback or inlet unstart is …

Using active subspace-based similarity analysis for design of combustion experiments

K Lin, Z Zhou, Y Wang, CK Law, B Yang - Proceedings of the Combustion …, 2023 - Elsevier
Experimental data under a wide range of conditions are essential for the optimization of
combustion kinetic models. However, some laboratory measurements under given …

Dimensionality reduction for surrogate model construction for global sensitivity analysis: Comparison between active subspace and local sensitivity analysis

K Lin, Z Zhou, CK Law, B Yang - Combustion and Flame, 2021 - Elsevier
Global sensitivity analysis of combustion kinetic models is time consuming, because
numerous samples generated by kinetic model simulations within the uncertainty space of …

Kinetic subspace investigation using neural network for uncertainty quantification in nonpremixed flamelets

BC Koenig, W Ji, S Deng - Proceedings of the Combustion Institute, 2023 - Elsevier
Propagating uncertainties in kinetic models through turbulent combustion simulations to
properly quantify the uncertainties in the simulation results remains a challenging and …