Computer networks, trained with data from delayed-fluorescence materials that have been successfully used in organic light-emitting diodes, facilitate the high-speed prediction of good emitters for display and lighting applications.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
A materials informatics driven fine-tuning of triazine-based electron-transport layer for organic light-emitting devices
Scientific Reports Open Access 22 February 2024
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Tang, C. W. & VanSlyke, S. A. Appl. Phys. Lett. 51, 913–915 (1987).
Baldo, M. A. et al. Nature 395, 151–154 (1998).
Baldo M. A. et al. Appl. Phys. Lett. 75, 4–6 (1999).
Adachi, C. et al. J. Appl. Phys. 90, 5048–5051 (2001).
Uoyama, H. et al. Nature 492, 234–238 (2012).
Reineke, S. Nat. Photon. 8, 269–270 (2014).
Zhang, Q. et al. J. Am. Chem. Soc. 134, 14706–14709 (2012).
Zhang, Q. et al. Nat. Photon. 8, 326–332 (2014).
Hirata, S. et al. Nat. Mater. 14, 330–336 (2015).
Gómez-Bombarelli, R. et al. Nat. Mater. 15, 1120–1127 (2016).
Jain, A. et al. Nat. Rev. Mater. 1, 15004 (2016).
Reineke, S. Nat. Mater. 14, 459–462 (2015).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Hirata, S., Shizu, K. High-throughput virtual screening. Nature Mater 15, 1056–1057 (2016). https://doi.org/10.1038/nmat4750
Published:
Issue Date:
DOI: https://doi.org/10.1038/nmat4750