EconPapers    
Economics at your fingertips  
 

Machine learning made easy for optimizing chemical reactions

Jason E. Hein ()

Nature, 2021, vol. 590, issue 7844, 40-41

Abstract: An accessible machine-learning tool has been developed that can accelerate the optimization of a wide range of synthetic reactions — and reveals how cognitive bias might have undermined optimization by humans.

Keywords: Chemistry; Organic chemistry; Synthesis; Computer science (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-021-00209-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:590:y:2021:i:7844:d:10.1038_d41586-021-00209-6

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-021-00209-6

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:nature:v:590:y:2021:i:7844:d:10.1038_d41586-021-00209-6