Issue 19, 2025

The fellowship of the Grignard: 21st century computational tools for hundred-year-old chemistry

Abstract

This perspective begins with the discovery of the Grignard reaction by a graduate student in the last years of the 19th century, followed by describing why it has remained largely unexplained for more than a century. From the summary of what has been achieved, focusing on the computational aspects, it is now clear that further studies of the chemistry of any chemical species that is highly sensitive to solvents, such as Group I and II elements, require a holistic approach that includes the solute and the solvent together. Ab initio molecular dynamics, which meets these requirements, has produced some results but has hit hard limits due to its relatively high computational costs. In these days, it is becoming clear that data-driven methods, including machine learning potentials and simulations driven by quantitative on-the-fly calculation of relevant observables, have the potential to better and more completely explore the very large chemical space associated with the presence of a large number of species in solution. These methodologies have the chance to give the keys to enter the challenging and still poorly explored world of chemical species whose behaviour and reactivity are strongly influenced by the solvent and the experimental conditions.

Graphical abstract: The fellowship of the Grignard: 21st century computational tools for hundred-year-old chemistry

Article information

Article type
Perspective
Submitted
11 feb 2025
Accepted
10 apr 2025
First published
11 apr 2025
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2025,16, 8196-8216

The fellowship of the Grignard: 21st century computational tools for hundred-year-old chemistry

M. Cascella, S. L. Bore and O. Eisenstein, Chem. Sci., 2025, 16, 8196 DOI: 10.1039/D5SC01078K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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