Open AccessMachine Learning Yield Prediction from NiCOlit, a Small-Size Literature Data Set of Nickel Catalyzed C–O Couplings
Author(s) -
Jules Schleinitz,
Maxime Langevin,
Yanis Smail,
Benjamin Wehnert,
Laurence Grimaud,
Rodolphe Vuilleumier
Publication year - 2022
Publication title -
journal of the american chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.115
H-Index - 612
eISSN - 1520-5126
pISSN - 0002-7863
DOI - 10.1021/jacs.2c05302
Subject(s) - yield (engineering) , data set , context (archaeology) , chemistry , machine learning , chemical space , scope (computer science) , small data , set (abstract data type) , artificial intelligence , ideal (ethics) , throughput , computer science , drug discovery , paleontology , telecommunications , biochemistry , materials science , philosophy , epistemology , metallurgy , wireless , biology , programming language
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom