Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?

Boris Maryasin; Philipp Marquetand; Nuno Maulide

doi:10.1002/anie.201803562

Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?

Boris Maryasin, Philipp Marquetand, Nuno Maulide (Korresp. Autor*in)

Veröffentlichungen: Beitrag in Fachzeitschrift › Short Communication › Peer Reviewed

Originalsprache	Englisch
Seiten (von - bis)	6978-6980
Seitenumfang	3
Fachzeitschrift	Angewandte Chemie (International Edition)
Jahrgang	57
Ausgabenummer	24
DOIs	https://doi.org/10.1002/anie.201803562
Publikationsstatus	Veröffentlicht - 11 Juni 2018

ÖFOS 2012

104015 Organische Chemie
502002 Arbeitsmarkttheorie

Zugriff auf Dokument

10.1002/anie.201803562Lizenz: CC BY-NC-ND 4.0

http://phaidra.univie.ac.at/o:1005820Lizenz: CC BY-NC-ND 4.0

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitationsweisen

@article{0bcb77fb8aee4469b21dd638c33955ea,

title = "Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?",

keywords = "Buchwald-Hartwig reaction, high-throughput synthesis robot, machine learning, nanomole-scale reactions, C-H FUNCTIONALIZATION, PREDICTION, OUTCOMES, Buchwald–Hartwig reaction",

author = "Boris Maryasin and Philipp Marquetand and Nuno Maulide",

note = "Funding Information: We thank the University of Vienna for continued support of our research programs and the European Research Council (ERC CoG VINCAT 682002).",

year = "2018",

month = jun,

day = "11",

doi = "10.1002/anie.201803562",

language = "English",

volume = "57",

pages = "6978--6980",

journal = "Angewandte Chemie (International Edition)",

issn = "1433-7851",