Automatic approaches, response parameterisation, and information science in organometallic chemistry and catalysis: against making improvements to artificial chemistry and accelerating mechanistic figuring out

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automatic-approaches,-response-parameterisation,-and-information-science-in-organometallic-chemistry-and-catalysis:-against-making-improvements-to-artificial-chemistry-and-accelerating-mechanistic-figuring-out
Mai 25, 2024 In Unkategorisiert By Stuart C. Smith

Automatic approaches, response parameterisation, and information science in organometallic chemistry and catalysis: against making improvements to artificial chemistry and accelerating mechanistic figuring out

Digital Discovery, 2024, Advance Article
DOI: 10.1039/D3DD00249G, Review Article
Open Access Open Access
Creative Commons Licence&nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Stuart C. Smith, Christopher S. Horbaczewskyj, Theo F. N. Tanner, Jacob J. Walder, Ian J. S. Fairlamb
This review discusses the use of automation for organometallic reactions to generate rich datasets and, with statistical analysis and reaction component parameterisation, how organometallic reaction mechanisms can be probed to gain understanding.
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