Autoencoder neural network for chemically reacting systems

P Zhang, R Sankaran - … of Machine Learning for Modeling and …, 2022 - dl.begellhouse.com
Incorporating detailed chemical kinetic models is critical for accurate simulations of reacting
flows. However, detailed models involve a large number of thermochemical (TC) state …

Novel dnns for stiff odes with applications to chemically reacting flows

TS Brown, H Antil, R Löhner, F Togashi… - … Computing: ISC High …, 2021 - Springer
Chemically reacting flows are common in engineering, such as hypersonic flow, combustion,
explosions, manufacturing processes and environmental assessments. For combustion, the …

An out-of-distribution-aware autoencoder model for reduced chemical kinetics

P Zhang, S Liu, D Lu, R Sankaran, G Zhang - Discrete and Continuous …, 2021 - osti.gov
While detailed chemical kinetic models have been successful in representing rates of
chemical reactions in continuum scale computational fluid dynamics (CFD) simulations …

[หนังสือ][B] Data-Driven Dimensionality Reduction for Simulating Combustion Systems

N Kincaid - 2024 - search.proquest.com
There is a critical need for the development of cleaner and more efficient combustion
technologies to limit their detrimental effects on the climate and the environment and reduce …

Parallel Deep ResNets for Chemically Reacting Flows

TS Brown, H Antil, R Lohner, D Verma… - AIAA SCITECH 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1076. vid This article continues the
program initiated by the authors in [1] with an eventual goal to replace the existing chemistry …