Digital Twins for OLED Lifetime Predictions

Arthur Vauzelle; Christoph Hauenstein; Engin Torun; Siebe van Mensfoort; Harm van Eersel; Stefano Gottardi

doi:10.1002/sdtp.16005

Digital Twins for OLED Lifetime Predictions

Arthur Vauzelle, Christoph Hauenstein, Engin Torun, Siebe van Mensfoort, Harm van Eersel, Stefano Gottardi

Molecular Materials and Nanosystems

Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

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R&D of OLEDs devices can benefit from the support of simulations. The highest level of insight can be obtained with 3D kinetic Monte Carlo. Concrete R&D case studies showing how 3D kinetic Monte Carlo simulations can be used to address OLED R&D challenges will be presented.

Originele taal-2	Engels
Pagina's (van-tot)	506-508
Aantal pagina's	3
Tijdschrift	Digest of Technical Papers - SID International Symposium
Volume	53
Nummer van het tijdschrift	S1
DOI's	https://doi.org/10.1002/sdtp.16005
Status	Gepubliceerd - okt. 2022
Evenement	International Conference on Display Technology, ICDT 2022 - Fuzhou, China Duur: 9 jul. 2022 → 12 jul. 2022

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© 2022, John Wiley and Sons Inc. All rights reserved.

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AU - Gottardi, Stefano

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Digital Twins for OLED Lifetime Predictions

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