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 …
compounds used as fuels─ energy that is needed for power generation, transportation …
Modeling, analysis, and optimization under uncertainties: a review
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 …
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
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 …
science and engineering, motivated by several reasons, of which we mention just a few …
Bayesian chemical reaction neural network for autonomous kinetic uncertainty quantification
Chemical reaction neural network (CRNN), a recently developed tool for autonomous
discovery of reaction models, has been successfully demonstrated on a variety of chemical …
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 …
processing technologies, artificial intelligence (AI) has introduced new tools and …
Kinetics parameter optimization of hydrocarbon fuels via neural ordinary differential equations
Chemical kinetics mechanisms are essential for understanding, analyzing, and simulating
complex combustion phenomena. In this study, a neural ordinary differential equation …
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 …
requirement. For instance, reliably avoiding lean blowout, flame flashback or inlet unstart is …
Using active subspace-based similarity analysis for design of combustion experiments
Experimental data under a wide range of conditions are essential for the optimization of
combustion kinetic models. However, some laboratory measurements under given …
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
Global sensitivity analysis of combustion kinetic models is time consuming, because
numerous samples generated by kinetic model simulations within the uncertainty space of …
numerous samples generated by kinetic model simulations within the uncertainty space of …
Kinetic subspace investigation using neural network for uncertainty quantification in nonpremixed flamelets
Propagating uncertainties in kinetic models through turbulent combustion simulations to
properly quantify the uncertainties in the simulation results remains a challenging and …
properly quantify the uncertainties in the simulation results remains a challenging and …