Home > Combining machine learning models and Sabatier's principle to predict the activity of homogeneous catalysts
 

Combining machine learning models and Sabatier's principle to predict the activity of homogeneous catalysts

Corminboeuf, Clemence ; Meyer, Benjamin ; Sawatlon, Boodsarin ; von Lilienfeld, Anatole

Published in:
Abstracts Of Papers Of The American Chemical Society, 257
Presented at:
National Meeting of the American-Chemical-Society (ACS), Orlando, FL, Mar 31-Apr 04, 2019
Year:
Mar 31 2019
Publisher:
Washington, AMER CHEMICAL SOC
ISSN:
0065-7727
Other identifiers:
View record in Web of Science
Laboratories:
LCBC
LCMD

Record appears in:
Scientific production and competences > SB - School of Basic Sciences > ISIC - Institute of Chemical Sciences and Engineering > LCBC - Laboratory of Computational Chemistry and Biochemistry
Scientific production and competences > SB - School of Basic Sciences > ISIC - Institute of Chemical Sciences and Engineering > LCMD - Laboratory of Computational Molecular Design
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published



 Record created 2019-08-22, last modified 2019-12-05


Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)