Turbocharged molecular discovery of OLED emitters: from high-throughput quantum simulation to highly efficient TADF devices
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Author(s) • • • • • • •
Gómez-Bombarelli, Rafael
Aguilera-Iparraguirre, Jorge
Hirzel, Timothy D.
Aspuru-Guzik, Alán
Ha, Dong-Gwang
Einzinger, Markus
Wu, Tony C
Baldo, Marc A
Date Issued
September 2016
Journal
Proceedings of SPIE--the Society of Photo-Optical Instrumentation Engineers
Publisher
SPIE
Citation
Gómez-Bombarelli, Rafael; Aguilera-Iparraguirre, Jorge; Hirzel, Timothy D. et al. “Turbocharged Molecular Discovery of OLED Emitters: From High-Throughput Quantum Simulation to Highly Efficient TADF Devices
.” Edited by Franky So, Chihaya Adachi, and Jang-Joo Kim. Organic Light Emitting Materials and Devices XX (September 2016): 99410A © 2016 SPIE
Version
Final published version
Abstract
Discovering new OLED emitters requires many experiments to synthesize candidates and test performance in devices. Large scale computer simulation can greatly speed this search process but the problem remains challenging enough that brute force application of massive computing power is not enough to successfully identify novel structures. We report a successful High Throughput Virtual Screening study that leveraged a range of methods to optimize the search process. The generation of candidate structures was constrained to contain combinatorial explosion. Simulations were tuned to the specific problem and calibrated with experimental results. Experimentalists and theorists actively collaborated such that experimental feedback was regularly utilized to update and shape the computational search. Supervised machine learning methods prioritized candidate structures prior to quantum chemistry simulation to prevent wasting compute on likely poor performers. With this combination of techniques, each multiplying the strength of the search, this effort managed to navigate an area of molecular space and identify hundreds of promising OLED candidate structures. An experimentally validated selection of this set shows emitters with external quantum efficiencies as high as 22%.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
https://doi.org/10.1117/12.2236966