Journal:AI4Green: An open-source ELN for green and sustainable chemistry

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Full article title AI4Green: An open-source ELN for green and sustainable chemistry
Journal Journal of Chemical Information and Modeling
Author(s) Boobier, Samuel; Davies, Joseph C.; Derbenev, Ivan N.; Handley, Christopher M.; Hirst, Jonathan D.
Author affiliation(s) University of Nottingham
Year published 2023
Volume and issue 63(10)
Page(s) 2895–2901
DOI 10.1021/acs.jcim.3c00306
ISSN 1549-960X
Distribution license Creative Commons Attribution 4.0 International
Website https://pubs.acs.org/doi/10.1021/acs.jcim.3c00306
Download https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00306

Abstract

This paper presents the free and open-source, web-based electronic laboratory notebook (ELN) AI4Green, which combines features such as data archiving, collaboration tools, and green and sustainability metrics for organic chemistry. AI4Green offers the core functionality of an ELN, namely, the ability to store reactions securely and share them among different members of a research team. As users plan their reactions and record them in the ELN, green and sustainable chemistry is encouraged by automatically calculating green metrics and color-coding hazards, solvents, and reaction conditions. The interface links a database constructed from data extracted from PubChem, enabling the automatic collation of information for reactions. The application’s design facilitates the development of auxiliary sustainability applications, such as our Solvent Guide. As more reaction data are captured, subsequent work will focus on providing “intelligent” sustainability suggestions to the user.

Keywords: electronic laboratory notebook, ELN, sustainable chemistry, open-source, data sharing

Introduction

References

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. Grammar was cleaned up for smoother reading. In some cases important information was missing from the references, and that information was added.