Issue 2, 2022

Natural language processing models that automate programming will transform chemistry research and teaching

Abstract

Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. These tools have yet to have an impact on the chemistry community. Yet, our initial testing demonstrates that this form of artificial intelligence is poised to transform chemistry and chemical engineering research. Here, we review developments that brought us to this point, examine applications in chemistry, and give our perspective on how this may fundamentally alter research and teaching.

Graphical abstract: Natural language processing models that automate programming will transform chemistry research and teaching

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Article information

Article type
Perspective
Submitted
02 sen 2021
Accepted
25 yan 2022
First published
03 fev 2022
This article is Open Access
Creative Commons BY license

Digital Discovery, 2022,1, 79-83

Natural language processing models that automate programming will transform chemistry research and teaching

G. M. Hocky and A. D. White, Digital Discovery, 2022, 1, 79 DOI: 10.1039/D1DD00009H

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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