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Organic Semiconductors: Toward Design of Novel Materials for Organic Electronics (Adv. Mater. 26/2019)
Author(s) -
Friederich Pascal,
Fediai Artem,
Kaiser Simon,
Konrad Manuel,
Jung Nicole,
Wenzel Wolfgang
Publication year - 2019
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201970188
Subject(s) - materials science , organic electronics , organic semiconductor , electronics , nanotechnology , complement (music) , semiconductor , identification (biology) , engineering physics , optoelectronics , engineering , transistor , electrical engineering , voltage , biochemistry , chemistry , botany , complementation , biology , gene , phenotype
In article number 1808256, Wolfgang Wenzel and co‐workers discuss the state of the art of predictive simulation methods, including machine learning, to complement experimental research in the identification of novel materials for organic electronics. Their potential is illustrated by highlighting some prominent recent applications.