@article{e3ef872b5ced4c099fa9da36aaec3083,
title = "Catalyst design within asymmetric organocatalysis",
abstract = "The field of organocatalysis, more specifically asymmetric organocatalysis, is continuously expanding having grown significantly over the recent years. However, despite this exponential expansion, the ability to determine with any degree of certainty the reaction mechanisms of these types of reactions fails to keep within pace. Due to increasing calculation capacity and methods accuracy, computational methodologies have been established as an essential approach in both a predictive and supportive role to aid the synthetic design of novel catalysts by enabling the prediction of catalytic behaviour. This review is focused on the computationally-led catalyst design within asymmetric organocatalysis, discussing the different theoretical approaches most commonly utilised. This article is categorized under: Structure and Mechanism > Reaction Mechanisms and Catalysis Software > Quantum Chemistry Quantum Computing > Algorithms.",
keywords = "asymmetric organocatalysis, computational design, computationally-led catalyst design, organocatalysts, prediction",
author = "I{\~n}igo Iribarren and Garcia, {Marianne Rica} and Cristina Trujillo",
note = "Funding Information: This publication has emanated from research supported by Science Foundation Ireland (SFI 18/SIRG/5517). For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. Thanks are given to the Irish Centre for High‐End Computing (ICHEC) for their continued computational support. Funding Information: This publication has emanated from research supported by Science Foundation Ireland (SFI 18/SIRG/5517). For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. Thanks are given to the Irish Centre for High-End Computing (ICHEC) for their continued computational support. Open access funding provided by IReL. [Correction added on 18 May 2022, after first online publication: IReL funding statement has been added.] Publisher Copyright: {\textcopyright} 2022 The Authors. WIREs Computational Molecular Science published by Wiley Periodicals LLC.",
year = "2022",
month = nov,
day = "1",
doi = "10.1002/wcms.1616",
language = "English",
volume = "12",
journal = "Wiley Interdisciplinary Reviews: Computational Molecular Science",
issn = "1759-0876",
publisher = "John Wiley & Sons Ltd",
number = "6",
}