Computational Organometallic Catalysis: Where We Are, Where We Are Going

This essay gives my personal perspective of the current stage of computational methods applied to modeling organometallic catalysis, as well as the new directions the field is taking. The first part of the essay deals with what I consider the state‐of‐the‐art to build up energy profiles, regarding b...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European journal of inorganic chemistry 2021-07, Vol.2021 (26), p.2547-2555
1. Verfasser: Lledós, Agustí
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2555
container_issue 26
container_start_page 2547
container_title European journal of inorganic chemistry
container_volume 2021
creator Lledós, Agustí
description This essay gives my personal perspective of the current stage of computational methods applied to modeling organometallic catalysis, as well as the new directions the field is taking. The first part of the essay deals with what I consider the state‐of‐the‐art to build up energy profiles, regarding both chemical and computational models. With a proper choice of the chemical model and computational methods, quantum mechanical calculations are nowadays able to provide accurate energy profiles of organometallic reactions in solution involving closed‐shell species. However, in most cases they are still used to “predict the past”, providing after‐the‐fact explanations and missing out the full potential of contemporary simulation techniques. Simulations are mature enough to be incorporated at the design stage and to guide the experimental exploration. The new directions the field is taking, incorporating automated exploration methods and combined with extensive data analysis and machine learning algorithms, approach the holy grail of catalyst discovering. What makes current DFT calculations of organometallic reactions reliable? Are they efficiently employed? How do they connect with reaction mechanisms? How are they approaching the long‐sought catalyst design? Are theoreticians still needed? This essay collects my personal answers to these and other related questions.
doi_str_mv 10.1002/ejic.202100330
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2552801291</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2552801291</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3570-49d9eb2e5503eb7461a7caf3facc42287b6b9e03ad5b7bac33eb5d9853863b913</originalsourceid><addsrcrecordid>eNqFkEFLAzEUhIMoWKtXzwte3fqSbHY33spS20qhF6XHkE3f1pRtU5Mt0n9vakXx5OnNwDfDYwi5pTCgAOwB19YMGLBoOIcz0qMgZQp5yc6jzniWUpmVl-QqhDVEBnjeI5PKbXb7TnfWbXWbzP1Kb90GO9221iSVjuIQbHhMFm_oMVlgMvR4_8clY2e3q2ty0eg24M337ZPXp9FLNUln8_G0Gs5Sw0UBaSaXEmuGQgDHushyqgujG95oYzLGyqLOa4nA9VLURa0Nj5RYylLwMue1pLxP7k69O-_e9xg6tXZ7H38PignBSqDsixqcKONdCB4btfN2o_1BUVDHtdRxLfWzVgzIU-DDtnj4h1aj52n1m_0EX2Zs7A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2552801291</pqid></control><display><type>article</type><title>Computational Organometallic Catalysis: Where We Are, Where We Are Going</title><source>Access via Wiley Online Library</source><creator>Lledós, Agustí</creator><creatorcontrib>Lledós, Agustí</creatorcontrib><description>This essay gives my personal perspective of the current stage of computational methods applied to modeling organometallic catalysis, as well as the new directions the field is taking. The first part of the essay deals with what I consider the state‐of‐the‐art to build up energy profiles, regarding both chemical and computational models. With a proper choice of the chemical model and computational methods, quantum mechanical calculations are nowadays able to provide accurate energy profiles of organometallic reactions in solution involving closed‐shell species. However, in most cases they are still used to “predict the past”, providing after‐the‐fact explanations and missing out the full potential of contemporary simulation techniques. Simulations are mature enough to be incorporated at the design stage and to guide the experimental exploration. The new directions the field is taking, incorporating automated exploration methods and combined with extensive data analysis and machine learning algorithms, approach the holy grail of catalyst discovering. What makes current DFT calculations of organometallic reactions reliable? Are they efficiently employed? How do they connect with reaction mechanisms? How are they approaching the long‐sought catalyst design? Are theoreticians still needed? This essay collects my personal answers to these and other related questions.</description><identifier>ISSN: 1434-1948</identifier><identifier>EISSN: 1099-0682</identifier><identifier>DOI: 10.1002/ejic.202100330</identifier><language>eng</language><publisher>Weinheim: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; Catalysis ; Catalyst discovery ; Chemical and computational models ; Data analysis ; Density functional calculations ; Energy profile ; Inorganic chemistry ; Machine learning ; Quantum mechanics ; Reaction mechanisms</subject><ispartof>European journal of inorganic chemistry, 2021-07, Vol.2021 (26), p.2547-2555</ispartof><rights>2021 The Authors. European Journal of Inorganic Chemistry published by Wiley-VCH GmbH</rights><rights>2021. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3570-49d9eb2e5503eb7461a7caf3facc42287b6b9e03ad5b7bac33eb5d9853863b913</citedby><cites>FETCH-LOGICAL-c3570-49d9eb2e5503eb7461a7caf3facc42287b6b9e03ad5b7bac33eb5d9853863b913</cites><orcidid>0000-0001-7909-422X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fejic.202100330$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fejic.202100330$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Lledós, Agustí</creatorcontrib><title>Computational Organometallic Catalysis: Where We Are, Where We Are Going</title><title>European journal of inorganic chemistry</title><description>This essay gives my personal perspective of the current stage of computational methods applied to modeling organometallic catalysis, as well as the new directions the field is taking. The first part of the essay deals with what I consider the state‐of‐the‐art to build up energy profiles, regarding both chemical and computational models. With a proper choice of the chemical model and computational methods, quantum mechanical calculations are nowadays able to provide accurate energy profiles of organometallic reactions in solution involving closed‐shell species. However, in most cases they are still used to “predict the past”, providing after‐the‐fact explanations and missing out the full potential of contemporary simulation techniques. Simulations are mature enough to be incorporated at the design stage and to guide the experimental exploration. The new directions the field is taking, incorporating automated exploration methods and combined with extensive data analysis and machine learning algorithms, approach the holy grail of catalyst discovering. What makes current DFT calculations of organometallic reactions reliable? Are they efficiently employed? How do they connect with reaction mechanisms? How are they approaching the long‐sought catalyst design? Are theoreticians still needed? This essay collects my personal answers to these and other related questions.</description><subject>Algorithms</subject><subject>Catalysis</subject><subject>Catalyst discovery</subject><subject>Chemical and computational models</subject><subject>Data analysis</subject><subject>Density functional calculations</subject><subject>Energy profile</subject><subject>Inorganic chemistry</subject><subject>Machine learning</subject><subject>Quantum mechanics</subject><subject>Reaction mechanisms</subject><issn>1434-1948</issn><issn>1099-0682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkEFLAzEUhIMoWKtXzwte3fqSbHY33spS20qhF6XHkE3f1pRtU5Mt0n9vakXx5OnNwDfDYwi5pTCgAOwB19YMGLBoOIcz0qMgZQp5yc6jzniWUpmVl-QqhDVEBnjeI5PKbXb7TnfWbXWbzP1Kb90GO9221iSVjuIQbHhMFm_oMVlgMvR4_8clY2e3q2ty0eg24M337ZPXp9FLNUln8_G0Gs5Sw0UBaSaXEmuGQgDHushyqgujG95oYzLGyqLOa4nA9VLURa0Nj5RYylLwMue1pLxP7k69O-_e9xg6tXZ7H38PignBSqDsixqcKONdCB4btfN2o_1BUVDHtdRxLfWzVgzIU-DDtnj4h1aj52n1m_0EX2Zs7A</recordid><startdate>20210715</startdate><enddate>20210715</enddate><creator>Lledós, Agustí</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-7909-422X</orcidid></search><sort><creationdate>20210715</creationdate><title>Computational Organometallic Catalysis: Where We Are, Where We Are Going</title><author>Lledós, Agustí</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3570-49d9eb2e5503eb7461a7caf3facc42287b6b9e03ad5b7bac33eb5d9853863b913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Catalysis</topic><topic>Catalyst discovery</topic><topic>Chemical and computational models</topic><topic>Data analysis</topic><topic>Density functional calculations</topic><topic>Energy profile</topic><topic>Inorganic chemistry</topic><topic>Machine learning</topic><topic>Quantum mechanics</topic><topic>Reaction mechanisms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lledós, Agustí</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library Free Content</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>European journal of inorganic chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lledós, Agustí</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational Organometallic Catalysis: Where We Are, Where We Are Going</atitle><jtitle>European journal of inorganic chemistry</jtitle><date>2021-07-15</date><risdate>2021</risdate><volume>2021</volume><issue>26</issue><spage>2547</spage><epage>2555</epage><pages>2547-2555</pages><issn>1434-1948</issn><eissn>1099-0682</eissn><abstract>This essay gives my personal perspective of the current stage of computational methods applied to modeling organometallic catalysis, as well as the new directions the field is taking. The first part of the essay deals with what I consider the state‐of‐the‐art to build up energy profiles, regarding both chemical and computational models. With a proper choice of the chemical model and computational methods, quantum mechanical calculations are nowadays able to provide accurate energy profiles of organometallic reactions in solution involving closed‐shell species. However, in most cases they are still used to “predict the past”, providing after‐the‐fact explanations and missing out the full potential of contemporary simulation techniques. Simulations are mature enough to be incorporated at the design stage and to guide the experimental exploration. The new directions the field is taking, incorporating automated exploration methods and combined with extensive data analysis and machine learning algorithms, approach the holy grail of catalyst discovering. What makes current DFT calculations of organometallic reactions reliable? Are they efficiently employed? How do they connect with reaction mechanisms? How are they approaching the long‐sought catalyst design? Are theoreticians still needed? This essay collects my personal answers to these and other related questions.</abstract><cop>Weinheim</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ejic.202100330</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-7909-422X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1434-1948
ispartof European journal of inorganic chemistry, 2021-07, Vol.2021 (26), p.2547-2555
issn 1434-1948
1099-0682
language eng
recordid cdi_proquest_journals_2552801291
source Access via Wiley Online Library
subjects Algorithms
Catalysis
Catalyst discovery
Chemical and computational models
Data analysis
Density functional calculations
Energy profile
Inorganic chemistry
Machine learning
Quantum mechanics
Reaction mechanisms
title Computational Organometallic Catalysis: Where We Are, Where We Are Going
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T05%3A50%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Computational%20Organometallic%20Catalysis:%20Where%20We%20Are,%20Where%20We%20Are%20Going&rft.jtitle=European%20journal%20of%20inorganic%20chemistry&rft.au=Lled%C3%B3s,%20Agust%C3%AD&rft.date=2021-07-15&rft.volume=2021&rft.issue=26&rft.spage=2547&rft.epage=2555&rft.pages=2547-2555&rft.issn=1434-1948&rft.eissn=1099-0682&rft_id=info:doi/10.1002/ejic.202100330&rft_dat=%3Cproquest_cross%3E2552801291%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2552801291&rft_id=info:pmid/&rfr_iscdi=true