Natural language processing models that automate programming will transform chemistry research and teaching. (11th February 2022)

• Record Type: Journal Article
• Authors: Hocky, Glen M.; White, Andrew D.
• Is Part Of: Digital discovery. Volume 1:Number 2(2022)
• Page Start: 79
• Page End: 83
• Publication Date: 2022-02-11
• Subjects: Chemistry -- Data processing -- Periodicals; Medical sciences -- Data processing -- Periodicals; Machine learning -- Periodicals; 542.85
• DOI: 10.1039/d1dd00009h
• Languages: English
• ISSNs: 2635-098X

Abstract

Abstract : Natural language processing models have emerged that can generate useable software and automate a number of programming tasks with high fidelity. 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.