A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions

This paper presents an automated framework that uses overlapping subsets of reference data to systematically derive an informed estimate of the standard enthalpy of formation of chemical species and assess the consistency of the reference data. The theory of error-cancelling balanced reactions (EBRs...

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Main Authors: Buerger, Philipp, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87228
http://hdl.handle.net/10220/45351
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-872282023-12-29T06:47:31Z A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions Buerger, Philipp Akroyd, Jethro Mosbach, Sebastian Kraft, Markus School of Chemical and Biomedical Engineering Enthalpy of Formation Heat of Formation This paper presents an automated framework that uses overlapping subsets of reference data to systematically derive an informed estimate of the standard enthalpy of formation of chemical species and assess the consistency of the reference data. The theory of error-cancelling balanced reactions (EBRs) is used to calculate estimates of the standard enthalpy of formation. Individual EBRs are identi ed using linear programming. The rst part of the framework recursively identi es multiple EBRs for speci ed target species. A distribution of estimates can then be determined for each species from which an informed estimate of the enthalpy is derived. The second part of the framework iteratively isolates inconsistent reference data and improves the prediction accuracy by excluding such data. The application of the framework is demonstrated for test cases from organic and inorganic chemistry, including transition metal complexes. Its application to a set of 920 carbon, hydrogen and oxygen containing species resulted in a rapid decrease of the mean absolute error for estimates of the enthalpy of formation of each species due to the identi cation and exclusion of inconsistent reference data. Its application to titanium-containing species identi ed that the available reference values of TiOCl and TiO(OH)2. NRF (Natl Research Foundation, S’pore) Accepted version 2018-07-30T03:36:22Z 2019-12-06T16:37:41Z 2018-07-30T03:36:22Z 2019-12-06T16:37:41Z 2018 Journal Article Buerger, P., Akroyd, J., Mosbach, S., & Kraft, M. (2018). A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions. Combustion and Flame, 187, 105-121. 0010-2180 https://hdl.handle.net/10356/87228 http://hdl.handle.net/10220/45351 10.1016/j.combustflame.2017.08.013 en Combustion and Flame © 2017 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Combustion and Flame, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.combustflame.2017.08.013]. 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Enthalpy of Formation
Heat of Formation
spellingShingle Enthalpy of Formation
Heat of Formation
Buerger, Philipp
Akroyd, Jethro
Mosbach, Sebastian
Kraft, Markus
A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
description This paper presents an automated framework that uses overlapping subsets of reference data to systematically derive an informed estimate of the standard enthalpy of formation of chemical species and assess the consistency of the reference data. The theory of error-cancelling balanced reactions (EBRs) is used to calculate estimates of the standard enthalpy of formation. Individual EBRs are identi ed using linear programming. The rst part of the framework recursively identi es multiple EBRs for speci ed target species. A distribution of estimates can then be determined for each species from which an informed estimate of the enthalpy is derived. The second part of the framework iteratively isolates inconsistent reference data and improves the prediction accuracy by excluding such data. The application of the framework is demonstrated for test cases from organic and inorganic chemistry, including transition metal complexes. Its application to a set of 920 carbon, hydrogen and oxygen containing species resulted in a rapid decrease of the mean absolute error for estimates of the enthalpy of formation of each species due to the identi cation and exclusion of inconsistent reference data. Its application to titanium-containing species identi ed that the available reference values of TiOCl and TiO(OH)2.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Buerger, Philipp
Akroyd, Jethro
Mosbach, Sebastian
Kraft, Markus
format Article
author Buerger, Philipp
Akroyd, Jethro
Mosbach, Sebastian
Kraft, Markus
author_sort Buerger, Philipp
title A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
title_short A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
title_full A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
title_fullStr A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
title_full_unstemmed A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
title_sort systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
publishDate 2018
url https://hdl.handle.net/10356/87228
http://hdl.handle.net/10220/45351
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