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...
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Veröffentlicht in: | European journal of inorganic chemistry 2021-07, Vol.2021 (26), p.2547-2555 |
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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 |
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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.
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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 |
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