<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bai J</submitter><funding>China Scholarship Council</funding><funding>Gates Cambridge Trust</funding><funding>Alexander von Humboldt-Stiftung</funding><funding>National Research Foundation Singapore</funding><funding>Cambridge Commonwealth, European and International Trust</funding><funding>Engineering and Physical Sciences Research Council</funding><pagination>1701-1717</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8154252</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>61(4)</volume><pubmed_abstract>In this paper, we develop a knowledge graph-based framework for the automated calibration of combustion reaction mechanisms and demonstrate its effectiveness on a case study of poly(oxymethylene)dimethyl ether (PODE&lt;sub>&lt;i>n&lt;/i>&lt;/sub>, where &lt;i>n&lt;/i> = 3) oxidation. We develop an ontological representation for combustion experiments, OntoChemExp, that allows for the semantic enrichment of experiments within the J-Park simulator (JPS, theworldavatar.com), an existing cross-domain knowledge graph. OntoChemExp is fully capable of supporting experimental results in the Process Informatics Model (PrIMe) database. Following this, a set of software agents are developed to perform experimental result retrieval, sensitivity analysis, and calibration tasks. The sensitivity analysis agent is used for</pubmed_abstract><journal>Journal of chemical information and modeling</journal><pubmed_title>Automated Calibration of a Poly(oxymethylene) Dimethyl Ether Oxidation Mechanism Using the Knowledge Graph Technology.</pubmed_title><pmcid>PMC8154252</pmcid><funding_grant_id>OPP1144</funding_grant_id><funding_grant_id>EP/R029369/1</funding_grant_id><funding_grant_id>EP/S024220/1</funding_grant_id><funding_grant_id>2276523</funding_grant_id><pubmed_authors>Bringley EJ</pubmed_authors><pubmed_authors>Geeson R</pubmed_authors><pubmed_authors>Kraft M</pubmed_authors><pubmed_authors>Farazi F</pubmed_authors><pubmed_authors>Akroyd J</pubmed_authors><pubmed_authors>Bai J</pubmed_authors><pubmed_authors>Mosbach S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Automated Calibration of a Poly(oxymethylene) Dimethyl Ether Oxidation Mechanism Using the Knowledge Graph Technology.</name><description>In this paper, we develop a knowledge graph-based framework for the automated calibration of combustion reaction mechanisms and demonstrate its effectiveness on a case study of poly(oxymethylene)dimethyl ether (PODE&lt;sub>&lt;i>n&lt;/i>&lt;/sub>, where &lt;i>n&lt;/i> = 3) oxidation. We develop an ontological representation for combustion experiments, OntoChemExp, that allows for the semantic enrichment of experiments within the J-Park simulator (JPS, theworldavatar.com), an existing cross-domain knowledge graph. OntoChemExp is fully capable of supporting experimental results in the Process Informatics Model (PrIMe) database. Following this, a set of software agents are developed to perform experimental result retrieval, sensitivity analysis, and calibration tasks. The sensitivity analysis agent is used for</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2026-04-08T08:01:23.723Z</modification><creation>2022-02-10T12:15:16.621Z</creation></dates><accession>S-EPMC8154252</accession><cross_references><pubmed>33825473</pubmed><doi>10.1021/acs.jcim.0c01322</doi></cross_references></HashMap>