Interpretation and characterization of MILD combustion data using unsupervised clustering informed by physics-based, domain expertise (2022)
Attributed to:
Numerical exploration and modelling of a novel environmentally friendly combustion technique: droplet-laden MILD combustion
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.17863/cam.78203
Publication URI: https://www.repository.cam.ac.uk/handle/1810/330762
Type: Journal Article/Review