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In those cases, model predictions may remain accurate due to parameter error cancellation within the validation conditions, yet fail outside of that range. We introduce KiMecO, an uncertainty informed, master equation based kinetic mechanism optimizer that constrains the rate coefficients of a submechanism against concentration\u2013time profiles of multiple species across multiple conditions. It leverages machine learning and parallel computation to explore the sensitive master equation parameter space and yield physically consistent correlations among rate coefficients. We show that ensembles of master equation models are generally more robust than single models and enable uncertainty analysis of the optimized rate coefficients.<\/jats:p>","DOI":"10.1021\/acs.jpca.6c04372","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T08:01:30Z","timestamp":1788768090000},"page":"7517-7530","source":"Crossref","is-referenced-by-count":0,"title":["KiMecO: A Kinetic Mechanism Optimizer for Experimentally\nConstrained Master Equation Models"],"prefix":"10.1021","volume":"130","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2109-526X","authenticated-orcid":true,"given":"Cle\u0301ment","family":"Soulie\u0301","sequence":"first","affiliation":[{"name":"Sandia National Laboratories , , , ,","place":["Livermore, California, United States, 94550"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9123-8238","authenticated-orcid":true,"given":"Judit","family":"Za\u0301dor","sequence":"additional","affiliation":[{"name":"Sandia National Laboratories , , , ,","place":["Livermore, California, United States, 94550"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4320-0865","authenticated-orcid":true,"given":"Leonid","family":"Sheps","sequence":"additional","affiliation":[{"name":"Sandia National Laboratories , , , ,","place":["Livermore, California, United States, 94550"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,9,7]]},"reference":[{"key":"2026091708520016600_cit1","doi-asserted-by":"publisher","first-page":"100925","DOI":"10.1016\/j.pecs.2021.100925","article-title":"Influence of functional groups on low-temperature combustion\nchemistry of biofuels","volume":"86","author":"Rotavera","year":"2021","journal-title":"Prog. 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