A methodology for estimating hypersonic engine performance by coupling supersonic reactive flow simulations with machine learning techniques
We propose a methodology used to estimate the performance of hypersonic engines by
coupling some machine learning methods with a generated CFD database and one …
coupling some machine learning methods with a generated CFD database and one …
Reduced-order modeling of supersonic fuel–air mixing in a multi-strut injection scramjet engine using machine learning techniques
Dual-mode ramjet/scramjet engines promise extended flight speed range and are the
commonly preferred air-breathing propulsion system from within the family of hypersonic …
commonly preferred air-breathing propulsion system from within the family of hypersonic …
A co-kurtosis PCA based dimensionality reduction with nonlinear reconstruction using neural networks
For turbulent reacting flow systems, identification of low-dimensional representations of the
thermo-chemical state space is vitally important, primarily to significantly reduce the …
thermo-chemical state space is vitally important, primarily to significantly reduce the …