An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation

Automatic kinetic mechanism generation, virtual high‐throughput screening, and automatic transition state search are currently trending applications requiring exploration of a large molecule space. Large‐scale search requires fast and accurate estimation of molecules' properties of interest, su...

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Main Authors: Han, Kehang, Jamal, Adeel, Grambow, Colin A., Buras, Zachary, Green Jr, William H
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:en_US
Published: Wiley Blackwell 2018
Online Access:http://hdl.handle.net/1721.1/114934
https://orcid.org/0000-0002-0628-5305
https://orcid.org/0000-0002-2204-9046
https://orcid.org/0000-0002-6797-8578
https://orcid.org/0000-0003-2603-9694
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author Han, Kehang
Jamal, Adeel
Grambow, Colin A.
Buras, Zachary
Green Jr, William H
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Han, Kehang
Jamal, Adeel
Grambow, Colin A.
Buras, Zachary
Green Jr, William H
author_sort Han, Kehang
collection MIT
description Automatic kinetic mechanism generation, virtual high‐throughput screening, and automatic transition state search are currently trending applications requiring exploration of a large molecule space. Large‐scale search requires fast and accurate estimation of molecules' properties of interest, such as thermochemistry. Existing approaches are not satisfactory for large polycyclic molecules: considering the number of molecules being screened, quantum chemistry (even cheap density functional theory methods) can be computationally expensive, and group additivity, though fast, is not sufficiently accurate. This paper provides a fast and moderately accurate alternative by proposing a polycyclic thermochemistry estimation method that extends the group additivity method with two additional algorithms: similarity match and bicyclic decomposition. It significantly reduces Hf(298 K) estimation error from over 60 kcal/mol (group additivity method) to around 5 kcal/mol, Cp(298 K) error from 9 to 1 cal/mol/K, and S(298 K) error from 70 to 7 cal/mol/K. This method also works well for heteroatomic polycyclics. A web application for estimating thermochemistry by this method is made available at http://rmg.mit.edu/molecule_search.
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spelling mit-1721.1/1149342022-09-27T20:08:27Z An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation Han, Kehang Jamal, Adeel Grambow, Colin A. Buras, Zachary Green Jr, William H Massachusetts Institute of Technology. Department of Chemical Engineering William H. Green Han, Kehang Jamal, Adeel Grambow, Colin A. Buras, Zachary Green Jr, William H Automatic kinetic mechanism generation, virtual high‐throughput screening, and automatic transition state search are currently trending applications requiring exploration of a large molecule space. Large‐scale search requires fast and accurate estimation of molecules' properties of interest, such as thermochemistry. Existing approaches are not satisfactory for large polycyclic molecules: considering the number of molecules being screened, quantum chemistry (even cheap density functional theory methods) can be computationally expensive, and group additivity, though fast, is not sufficiently accurate. This paper provides a fast and moderately accurate alternative by proposing a polycyclic thermochemistry estimation method that extends the group additivity method with two additional algorithms: similarity match and bicyclic decomposition. It significantly reduces Hf(298 K) estimation error from over 60 kcal/mol (group additivity method) to around 5 kcal/mol, Cp(298 K) error from 9 to 1 cal/mol/K, and S(298 K) error from 70 to 7 cal/mol/K. This method also works well for heteroatomic polycyclics. A web application for estimating thermochemistry by this method is made available at http://rmg.mit.edu/molecule_search. United States. Department of Energy (Grant DE-SC0014901) 2018-04-24T17:12:20Z 2018-04-24T17:12:20Z 2018-02 2017-12 Article http://purl.org/eprint/type/JournalArticle 0538-8066 1097-4601 http://hdl.handle.net/1721.1/114934 Han, Kehang et al. “An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation.” International Journal of Chemical Kinetics 50, 4 (February 2018): 294–303 © 2018 Wiley Periodicals, Inc https://orcid.org/0000-0002-0628-5305 https://orcid.org/0000-0002-2204-9046 https://orcid.org/0000-0002-6797-8578 https://orcid.org/0000-0003-2603-9694 en_US http://dx.doi.org/10.1002/kin.21158 International Journal of Chemical Kinetics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Wiley Blackwell Prof. Green via Erja Kajosalo
spellingShingle Han, Kehang
Jamal, Adeel
Grambow, Colin A.
Buras, Zachary
Green Jr, William H
An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
title An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
title_full An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
title_fullStr An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
title_full_unstemmed An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
title_short An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
title_sort extended group additivity method for polycyclic thermochemistry estimation
url http://hdl.handle.net/1721.1/114934
https://orcid.org/0000-0002-0628-5305
https://orcid.org/0000-0002-2204-9046
https://orcid.org/0000-0002-6797-8578
https://orcid.org/0000-0003-2603-9694
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