Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Artem Leonov"'
Publikováno v:
CHIMIA, Vol 77, Iss 1/2 (2023)
Computer-aided synthesis design, automation, and analytics assisted by machine learning are promising resources in the researcher’s toolkit. Each component may alleviate the chemist from routine tasks, provide valuable insights from data, and enabl
Externí odkaz:
https://doaj.org/article/e19f3ab65d0e4eabaa0ffec8b9304cd0
Autor:
Klas Meyer, Jakob Wolf, Artem Leonov, Martin Bornemann-Pfeiffer, Simon Kern, Davide Angelone, Franziska Emmerling, Leroy Cronin
Publikováno v:
Angewandte Chemie (International Ed. in English)
A big problem with the chemistry literature is that it is not standardized with respect to precise operational parameters, and real time corrections are hard to make without expert knowledge. This lack of context means difficult reproducibility becau
Autor:
Simon Kern, Klas Meyer, Jakob Wolf, Martin Bornemann-Pfeiffer, Davide Angelone, Artem Leonov, Franziska Emmerling, Leroy Cronin
Publikováno v:
Angewandte Chemie. 133:23388-23393
Autor:
Leroy Cronin, Martin Bornemann-Pfeiffer, Jakob Wolf, Simon Kern, Davide Angelone, Franziska Emmerling, Artem Leonov, Klas Meyer
Publikováno v:
Angewandte Chemie. 133:23213-23213
Publikováno v:
Science. 370(6512):101-108
Paper in, product out A typical chemist running a known reaction will start by finding the method described in a published paper. Mehr et al. report a software platform that uses natural language processing to translate the organic chemistry literatu
Publikováno v:
JACS Au
JACS Au, Vol 1, Iss 10, Pp 1572-1587 (2021)
JACS Au, Vol 1, Iss 10, Pp 1572-1587 (2021)
The explosion in the use of machine learning for automated chemical reaction optimization is gathering pace. However, the lack of a standard architecture that connects the concept of chemical transformations universally to software and hardware provi