Demonstration of a Machine Learning-Based Approach to Predict Thermophysical Properties of Species Relevant to Aviation Fuels

Chandrachur Bhattacharya, J. Poblador Ibanez, Austin Han, Debolina Dasgupta, Lorenzo Nocivelli

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

18 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Demonstration of a Machine Learning-Based Approach to Predict Thermophysical Properties of Species Relevant to Aviation Fuels'. Together they form a unique fingerprint.

INIS

Chemical Engineering

Keyphrases

Engineering

Material Science