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.
@article{arxiv.2108.13360,
title = {Natural Language Processing Models That Automate Programming Will Transform Chemistry Research and Teaching},
author = {Glen M. Hocky and Andrew D. White},
journal= {arXiv preprint arXiv:2108.13360},
year = {2023}
}
Comments
6 pages, 3 figures, plus 8 page SI with additional examples and extended figure details