Nonidealities in rotating detonation engines
A rotating detonation engine (RDE) is a realization of pressure-gain combustion, wherein a
traveling detonation wave confined in a chamber provides shock-based compression along …
traveling detonation wave confined in a chamber provides shock-based compression along …
[HTML][HTML] Machine learning for combustion
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …
chemical phenomena in time and length scales, including complex chemical reactions and …
[HTML][HTML] Turbulent combustion modeling for internal combustion engine CFD: A review
The modeling of combustion or, to be exact, turbulent combustion using numerical
simulation has become state-of-the-art in the process of developing internal combustion …
simulation has become state-of-the-art in the process of developing internal combustion …
A data-driven reduced-order model for stiff chemical kinetics using dynamics-informed training
A data-based reduced-order model (ROM) is developed to accelerate the time integration of
stiff chemically reacting systems by effectively removing the stiffness arising from a wide …
stiff chemically reacting systems by effectively removing the stiffness arising from a wide …
A generative adversarial network (GAN) approach to creating synthetic flame images from experimental data
Modern diagnostic tools in turbulent combustion allow for highly-resolved measurements of
reacting flows; however, they tend to generate massive data-sets, rendering conventional …
reacting flows; however, they tend to generate massive data-sets, rendering conventional …
[HTML][HTML] A neural network-inspired matrix formulation of chemical kinetics for acceleration on gpus
High-fidelity simulations of turbulent flames are computationally expensive when using
detailed chemical kinetics. For practical fuels and flow configurations, chemical kinetics can …
detailed chemical kinetics. For practical fuels and flow configurations, chemical kinetics can …
Survival prediction and prognostic factors in colorectal cancer after curative surgery: insights from cox regression and neural networks
S Alinia, M Asghari-Jafarabadi, L Mahmoudi… - Scientific Reports, 2023 - nature.com
Medical research frequently relies on Cox regression to analyze the survival distribution of
cancer patients. Nonetheless, in specific scenarios, neural networks hold the potential to …
cancer patients. Nonetheless, in specific scenarios, neural networks hold the potential to …
Deep mechanism reduction (DeePMR) method for fuel chemical kinetics
Z Wang, Y Zhang, P Lin, E Zhao, E Weinan… - Combustion and …, 2024 - Elsevier
Fuel chemistry represents a typical complex system involving thousands of intermediate
species and elementary reactions. Traditional mechanism reduction methods, such as …
species and elementary reactions. Traditional mechanism reduction methods, such as …
Automated and efficient local adaptive regression for principal component-based reduced-order modeling of turbulent reacting flows
Abstract Principal Component Analysis can be used to reduce the cost of Computational
Fluid Dynamics simulations of turbulent reacting flows by reducing the dimensionality of the …
Fluid Dynamics simulations of turbulent reacting flows by reducing the dimensionality of the …
Data-driven reduction and decomposition with time-axis clustering
A new approach for modal decomposition through re-interpretation of unsteady dynamics,
termed time-axis clustering, is developed in this work and is demonstrated on an …
termed time-axis clustering, is developed in this work and is demonstrated on an …