An automated computational approach to kinetic model discrimination and parameter estimation

Taylor, CJ, Seki, H, Dannheim, FM et al. (5 more authors) (2021) An automated computational approach to kinetic model discrimination and parameter estimation. Reaction Chemistry and Engineering.

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Copyright, Publisher and Additional Information: © The Royal Society of Chemistry 2021. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
Dates:
  • Accepted: 7 May 2021
  • Published (online): 7 May 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Inorganic Chemistry (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/R032807/1
Royal Academy of EngineeringRCSRF1920\9\38
EPSRC (Engineering and Physical Sciences Research Council)EP/K004840/1
Depositing User: Symplectic Publications
Date Deposited: 02 Jun 2021 15:15
Last Modified: 02 Jun 2021 15:15
Status: Published online
Publisher: Royal Society of Chemistry
Identification Number: https://doi.org/10.1039/d1re00098e
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