Advances in plasma-assisted ignition and combustion for combustors of aerospace engines
The improvement of the ignition and combustion performance of aerospace engines under
extreme conditions such as high altitude, low temperature, low pressure, and high speed is …
extreme conditions such as high altitude, low temperature, low pressure, and high speed is …
Spray–turbulence–chemistry interactions under engine-like conditions
Turbulent multiphase combustion plays an important role in both nature (eg, volcanos and
pool fires) and industry (eg, industrial furnaces, aeroengines, and internal combustion …
pool fires) and industry (eg, industrial furnaces, aeroengines, and internal combustion …
[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 …
ChemNODE: A neural ordinary differential equations framework for efficient chemical kinetic solvers
Solving for detailed chemical kinetics remains one of the major bottlenecks for
computational fluid dynamics simulations of reacting flows using a finite-rate-chemistry …
computational fluid dynamics simulations of reacting flows using a finite-rate-chemistry …
DeepFlame: A deep learning empowered open-source platform for reacting flow simulations
Recent developments in deep learning have brought many inspirations for the scientific
computing community and it is perceived as a promising method in accelerating the …
computing community and it is perceived as a promising method in accelerating the …
Application of Elman and Cascade neural network (ENN and CNN) in comparison with adaptive neuro fuzzy inference system (ANFIS) to predict key fuel properties of …
Today, a growing interest to use Acetone-Butanol-Ethanol (ABE) as a biofuel has emerged.
Fuel properties play important roles to determine engine's performance, combustion, and …
Fuel properties play important roles to determine engine's performance, combustion, and …
Cost function for low-dimensional manifold topology assessment
In reduced-order modeling, complex systems that exhibit high state-space dimensionality
are described and evolved using a small number of parameters. These parameters can be …
are described and evolved using a small number of parameters. These parameters can be …
[HTML][HTML] Effects of ambient methanol on pollutants formation in dual-fuel spray combustion at varying ambient temperatures: A large-eddy simulation
Large-eddy simulation with a finite-rate chemistry model is carried out to investigate the
formation of soot and nitrogen oxides (NOx) in the dual-fuel spray combustion. Liquid n …
formation of soot and nitrogen oxides (NOx) in the dual-fuel spray combustion. Liquid n …
[HTML][HTML] Prediction of effective diffusivity of porous media using deep learning method based on sample structure information self-amplification
Effective diffusivity is one of the basic transport coefficients used to describe the mass
transport capability of a porous medium. In this study, a deep learning method based on a …
transport capability of a porous medium. In this study, a deep learning method based on a …
[HTML][HTML] Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame
Abstract Flamelet Generated Manifold (FGM) is an example of a chemistry tabulation or a
flamelet method that is under attention because of its accuracy and speed in predicting …
flamelet method that is under attention because of its accuracy and speed in predicting …