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Photoluminescence and electroluminescence of an iridium( iii ) complex with 2′,6′-bis(trifluoromethyl)-2,4′-bipyridine and 2-(5-phenyl-1,3,4-thiadiazol-2-yl)phenol ligands

Jing, Y., & Zheng, Y. (2017) · New Journal of Chemistry · doi:10.1039/c7nj00163k · Cited by 10

19‐4: Boosting OLED Performance with Ab‐initio Modeling of Roll‐off and Quenching Processes

Symalla, F., Heidrich, S., Kubillus, M., Strunk, T., Neumann, T., & Wenzel, W. (2019) · SID Symposium Digest of Technical Papers · doi:10.1002/sdtp.12905 · Cited by 10

Effect of molecular representation on deep learning performance for prediction of molecular electronic properties

Kim, J. H., Kim, H., & Kim, W. Y. (2022) · Bulletin of the Korean Chemical Society · doi:10.1002/bkcs.12516 · Cited by 9

Potential of Machine Learning Algorithms in Material Science: Predictions in Design, Properties, and Applications of Novel Functional Materials

Bhatt, P., Singh, N., & Chaudhary, S. (2023) · Springer eBooks · doi:10.1007/978-981-99-0393-1_4 · Cited by 9

Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors

Liu, A. L., Lee, M., Venkatesh, R., Bonsu, J. A., Volkovinsky, R., Meredith, J. C., Reichmanis, E., & Grover, M. A. (2023) · Chemistry of Materials · doi:10.1021/acs.chemmater.3c01842 · Cited by 9

Deep Learning-Based Chemical Similarity for Accelerated Organic Light-Emitting Diode Materials Discovery

Kim, H., Lee, K.-H., Kim, J. H., & Kim, W. Y. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c01747 · Cited by 9

A materials informatics driven fine-tuning of triazine-based electron-transport layer for organic light-emitting devices

Sato, K., Hattori, K., Uehara, F., Kitaguni, T., Nishiura, T., Yamagata, T., Nomura, K., Matsumoto, N., Tanaka, T., & Aihara, H. (2024) · Scientific Reports · doi:10.1038/s41598-024-54473-3 · Cited by 9

ExROPPP: Fast, accurate, and spin-pure calculation of the electronically excited states of organic hydrocarbon radicals

Green, J. D., & Hele, T. J. H. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0191373 · Cited by 9

Computational Discovery of Organic LED Materials

Gómez‐Bombarelli, R., & Aspuru‐Guzik, A. (2018) · Royal Society of Chemistry eBooks · doi:10.1039/9781788010122-00423 · Cited by 4

Turbocharged molecular discovery of OLED emitters: from high-throughput quantum simulation to highly efficient TADF devices

Gómez‐Bombarelli, R., Aguilera‐Iparraguirre, J., Hirzel, T. D., Ha, D.-G., Einzinger, M., Wu, T., Baldo, M. A., & Aspuru‐Guzik, A. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2236966 · Cited by 5

Automatic Screen‐out of Ir(III) Complex Emitters by Combined Machine Learning and Computational Analysis

Cheng, Z., Liu, J., Jiang, T., Chen, M., Dai, F., Gao, Z., Ke, G., Zhao, Z., & Ou, Q. (2023) · Advanced Optical Materials · doi:10.1002/adom.202301093 · Cited by 26

High-throughput quantum chemistry and virtual screening for OLED material components

Halls, M. D., Giesen, D. J., Hughes, T. F., Goldberg, A., & Cao, Y. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2025092 · Cited by 12

Virtual Screening for Organic Solar Cells and Light Emitting Diodes

Forero‐Martinez, N. C., Lin, K., Kremer, K., & Andrienko, D. (2022) · Advanced Science · doi:10.1002/advs.202200825 · Cited by 23