An autonomous organic reaction search engine for chemical reactivity
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1330719
- Type
- D - Journal article
- DOI
-
10.1038/ncomms15733
- Title of journal
- Nature Communications
- Article number
- 15733
- First page
- -
- Volume
- 8
- Issue
- -
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
F - Centre for Additive Manufacturing (CfAM)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a robot capable of navigating through networks of organic reactions without any prior knowledge. The combination of programmable reactor configurations, in-line analytics and intelligent algorithms allowed the rapid assessment of the most reactive pathways in multi-step organic syntheses. This paper opens the door to employ heuristic methods to increase the understanding of complex chemical networks and for the optimisation of synthetic chemical routes without any human bias.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
