Computational Organometallic Catalysis
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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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:249232 |
| Acceso en línea: | https://ddd.uab.cat/record/249232 https://dx.doi.org/urn:doi:10.1002/ejic.202100330 |
| Access Level: | acceso abierto |
| Palabra clave: | Catalyst discovery Chemical and computationalmodels Density functional calculations Energy profile Reaction mechanisms |
| Sumario: | 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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