Difference between revisions of "AI4Green"

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Revision as of 20:16, 5 June 2023

AI4Green
Abst Boobier JofChemInfoModel2023 63-10.gif
Developer(s) Boobier et al.[1]
Initial release February 24, 2023 (2023-02-24)[2]
Stable release

1.5.1  (October 2, 2023; 13 months ago (2023-10-02))

[±]
Written in Python, JavaScript
Operating system Cross-platform
Available in EN
Type Laboratory informatics software
License(s) GNU Affero General Public License v3.0
Website ai4green.app

AI4Green is a free open-source electronic laboratory notebook (ELN) "which combines data storage and sharing while promoting green and sustainable chemistry."[2]

Product history

The project was started by Boobier et al. to be used by academic groups at the University of Nottingham.[1] The group made the source code and installation instructions available on GitHub in February 2023.[2] The software has no formal version number on GitHub, so it's not clear what version is most current.

Features

Features of AI4Green include[1]:

  • support for workgroups
  • support for workbooks
  • support for user types/roles
  • documentation of reactions
  • automatic numbering of reactions
  • sketching of reactions (via Marvin JS)
  • databasing of reactions
  • greenness and sustainability analysis of reactions
  • data export
  • support for add-ons via Python Flask
  • support for CAS number
  • autosave

Hardware/software requirements

A system able to run Docker is required to run via Docker Desktop. The source code can be used to compile your own instance as well. See the GitHub page for more details.

Videos, screenshots, and other media

Several screenshots of AI4Green are found in the work of Boobier et al. See the further reading for more.

Entities using eLabFTW

  • University of Nottingham

Further reading

  • Boobier, S.; Davies, J.C.; Derbenev, I.N.; Handley, C.M.; Hirst, J.D. (2023). "AI4Green: An open-source ELN for green and sustainable chemistry". Journal of Chemical Information and Modeling 63 (10). doi:10.1021/acs.jcim.3c00306. 

External links

References

  1. 1.0 1.1 1.2 Boobier, S.; Davies, J.C.; Derbenev, I.N.; Handley, C.M.; Hirst, J.D. (2023). "AI4Green: An open-source ELN for green and sustainable chemistry". Journal of Chemical Information and Modeling 63 (10). doi:10.1021/acs.jcim.3c00306. 
  2. 2.0 2.1 2.2 "AI4Green". GitHub. https://github.com/AI4Green/AI4Green. Retrieved 05 June 2023.