The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A self optimizing synthetic organic reactor system using real-time in-line NMR spectroscopy
Open accessAbstract
A ‘dial-a-molecule’ platform for algorithm driven organic synthesis using real-time feedback, via in-line flow NMR spectroscopy, is demonstrated.
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Citations
Cites
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Cited by
The Hitchhiker’s Guide to Flow Chemistry
Plutschack, M. B., Pieber, B., Gilmore, K., & Seeberger, P. H. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00183 · Cited by 1,995
Self-Driving Laboratories for Chemistry and Materials Science
Tom, G., Schmid, S. P., Baird, S. G., Cao, Y., Darvish, K., Hao, H., Lo, S., Pablo-García, S., Rajaonson, E. M., Skreta, M., et al. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00055 · Cited by 707
Flow chemistry—Microreaction technology comes of age
Jensen, K. F. (2017) · AIChE Journal · doi:10.1002/aic.15642 · Cited by 508
Optimizing Chemical Reactions with Deep Reinforcement Learning
Zhou, Z., Li, X., & Zare, R. N. (2017) · ACS Central Science · doi:10.1021/acscentsci.7b00492 · Cited by 437
Using Machine Learning To Predict Suitable Conditions for Organic Reactions
Gao, H., Struble, T. J., Coley, C. W., Wang, Y., Green, W. H., & Jensen, K. F. (2018) · ACS Central Science · doi:10.1021/acscentsci.8b00357 · Cited by 431
Metadata
- Authors
- Sans, V., Porwol, L., Dragone, V., & Cronin, L.
- Venue
- Chemical Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 6
- Issue
- 2
- Pages
- 1258-1264
- ISSN
- 2041-6520 (ISSN-L)
- 2041-6539
- OpenAlex
- W2109179101
- Cited by
- 252
- References
- 1
- FWCI
- 8.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sans, V., Porwol, L., Dragone, V., & Cronin, L. (2015). A self optimizing synthetic organic reactor system using real-time in-line NMR spectroscopy. Chemical Science. https://doi.org/10.1039/c4sc03075c
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
