Beyond Ternary OPV High-Throughput Experimentation and Self-Driving Laboratories Optimize Multicomponent Systems

Beyond Ternary OPV : High-Throughput Experimentation and Self-Driving Laboratories Optimize Multicomponent Systems

© 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 32(2020), 14 vom: 15. Apr., Seite e1907801
1. Verfasser: Langner, Stefan (VerfasserIn)
Weitere Verfasser: Häse, Florian, Perea, José Darío, Stubhan, Tobias, Hauch, Jens, Roch, Loïc M, Heumueller, Thomas, Aspuru-Guzik, Alán, Brabec, Christoph J
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article high-throughput experimentation machine learning organic photovoltaics photostability solar energy
Beschreibung
Zusammenfassung:© 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Fundamental advances to increase the efficiency as well as stability of organic photovoltaics (OPVs) are achieved by designing ternary blends, which represents a clear trend toward multicomponent active layer blends. The development of high-throughput and autonomous experimentation methods is reported for the effective optimization of multicomponent polymer blends for OPVs. A method for automated film formation enabling the fabrication of up to 6048 films per day is introduced. Equipping this automated experimentation platform with a Bayesian optimization, a self-driving laboratory is constructed that autonomously evaluates measurements to design and execute the next experiments. To demonstrate the potential of these methods, a 4D parameter space of quaternary OPV blends is mapped and optimized for photostability. While with conventional approaches, roughly 100 mg of material would be necessary, the robot-based platform can screen 2000 combinations with less than 10 mg, and machine-learning-enabled autonomous experimentation identifies stable compositions with less than 1 mg
Beschreibung:Date Revised 30.09.2020
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1521-4095
DOI:10.1002/adma.201907801