A Machine Learning Based Approach to Reaction Rate Estimation

A Machine Learning Based Approach to Reaction Rate Estimation

Chemical kinetic models are vital to accurately predicting phenomena in a wide variety of fields from combustion to atmospheric chemistry to electrochemistry. However, building an accurate chemical kinetic model requires the efficient and accurate estimation of many reaction rate coefficients for ma...

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Bibliographic Details
Main Authors:	Johnson, Matthew S., Green, William H.
Other Authors:	Massachusetts Institute of Technology. Department of Chemical Engineering
Format:	Article
Published:	Royal Society of Chemistry 2024
Online Access:	https://hdl.handle.net/1721.1/156725

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