Natural Language Processing Models That Automate Programming Will Transform Chemistry Research and Teaching

TL;DR

Natural language processing models capable of automating programming tasks are poised to revolutionize chemistry research and education by enabling new tools and methodologies, though their impact has yet to be fully realized in the chemistry community.

Contribution

The paper reviews recent developments in NLP models for programming automation and discusses their potential transformative impact on chemistry research and teaching.

Findings

NLP models can generate usable chemistry-related software

These models have the potential to significantly alter research methods

Initial testing indicates high fidelity in automating chemistry programming tasks

Abstract

Natural language processing models have emerged that can generate usable 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.