Open AccessActive meta-learning for predicting and selecting perovskite crystallization experiments
Author(s) -
Venkateswaran Shekar,
Gareth Nicholas,
Mansoor Ani Najeeb,
Margaret Zeile,
Vincent F. Yu,
Xiaorong Wang,
Dylan Slack,
Zhi Li,
Philip W. Nega,
Emory M. Chan,
Alexander J. Norquist,
Joshua Schrier,
Sorelle A. Friedler
Publication year - 2022
Publication title -
journal of chemical physics online/the journal of chemical physics/journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/5.0076636
Subject(s) - machine learning , artificial intelligence , computer science , active learning (machine learning) , decision tree , meta learning (computer science) , online machine learning , probabilistic logic , set (abstract data type) , task (project management) , engineering , programming language , systems engineering