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

Research output: Contribution to journal › Conference article › peer-review

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Abstract

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.

Original language	English
Pages (from-to)	506-508
Number of pages	3
Journal	Digest of Technical Papers - SID International Symposium
Volume	53
Issue number	S1
DOIs	https://doi.org/10.1002/sdtp.16005
Publication status	Published - Oct 2022
Event	International Conference on Display Technology, ICDT 2022 - Fuzhou, China Duration: 9 Jul 2022 → 12 Jul 2022

Keywords

device
efficiency
OLEDs
organic electronics
simulations

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10.1002/sdtp.16005

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abstract = "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.",

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AU - van Eersel, Harm

AU - Gottardi, Stefano

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KW - efficiency

KW - OLEDs

KW - organic electronics

KW - simulations

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M3 - Conference article

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Digital Twins for OLED Lifetime Predictions

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