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NTIS 바로가기Nanophotonics, v.10 no.18, 2021년, pp.4533 - 4541
Kim, Sanmun (School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea) , Shin, Jeong Min (School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea) , Lee, Jaeho (School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea) , Park, Chanhyung (School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea) , Lee, Songju (School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea) , Park, Juho (School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea) , Seo, Dongjin (School of Electrical Engineering, Korea Advanc) , Park, Sehong , Park, Chan Y. , Jang, Min Seok
AbstractThe optical properties of thin-film light emitting diodes (LEDs) are strongly dependent on their structures due to light interference inside the devices. However, the complexity of the design space grows exponentially with the number of design parameters, making it challenging to optimize th...
[1] C. W. Tang and S. A. Vanslyke, “Organic electroluminescent diodes,” Appl. Phys. Lett. , vol. 51, no. 12, pp. 913-915, 1987, https://doi.org/10.1063/1.98799 . Tang C. W. Vanslyke S. A. Organic electroluminescent diodes Appl. Phys. Lett. 51 12 913 915 1987 https://doi.org/10.1063/1.98799
[2] T. Sekitani, H. Nakajima, H. Maeda, et al.., “Stretchable active-matrix organic light-emitting diode display using printable elastic conductors,” Nat. Mater. , vol. 8, no. 6, pp. 494-499, 2009, https://doi.org/10.1038/nmat2459 . Sekitani T. Nakajima H. Maeda H. Stretchable active-matrix organic light-emitting diode display using printable elastic conductors Nat. Mater. 8 6 494 499 2009 https://doi.org/10.1038/nmat2459
[3] M. S. White, M. Kaltenbrunner, E. D. Glowacki, et al.., “Ultrathin, highly flexible and stretchable PLEDs,” Nat. Photonics , vol. 7, no. 10, pp. 811-816, 2013, https://doi.org/10.1038/nphoton.2013.188 . White M. S. Kaltenbrunner M. Glowacki E. D. Ultrathin, highly flexible and stretchable PLEDs Nat. Photonics 7 10 811 816 2013 https://doi.org/10.1038/nphoton.2013.188
[4] F. So, J. Kido, and P. Burrows, “Organic light-emitting devices for solid-state lighting,” MRS Bull. , vol. 33, no. 7, pp. 663-669, 2008, https://doi.org/10.1557/mrs2008.137 . So F. Kido J. Burrows P. Organic light-emitting devices for solid-state lighting MRS Bull. 33 7 663 669 2008 https://doi.org/10.1557/mrs2008.137
[5] H. W. Chen, J. H. Lee, B. Y. Lin, S. Chen, and S. T. Wu, “Liquid crystal display and organic light-emitting diode display: present status and future perspectives,” Light Sci. Appl. , vol. 7, p. 17168, 2018, https://doi.org/10.1038/lsa.2017.168 . Chen H. W. Lee J. H. Lin B. Y. Chen S. Wu S. T. Liquid crystal display and organic light-emitting diode display: present status and future perspectives Light Sci. Appl. 7 17168 2018 https://doi.org/10.1038/lsa.2017.168
[6] K. T. Kamtekar, A. P. Monkman, and M. R. Bryce, “Recent advances in white organic light-emitting materials and devices (WOLEDs),” Adv. Mater. , vol. 22, no. 5, pp. 572-582, 2010, https://doi.org/10.1002/adma.200902148 . Kamtekar K. T. Monkman A. P. Bryce M. R. Recent advances in white organic light-emitting materials and devices (WOLEDs) Adv. Mater. 22 5 572 582 2010 https://doi.org/10.1002/adma.200902148
[7] J.-K. Yoon, H.-W. Park, J.-S. Son, et al.., “The study of picture quality of OLED TV with WRGB OLEDs structure,” Soc. Inf. Disp. , vol. 44, no. 1, pp. 326-329, 2013, https://doi.org/10.1002/j.2168-0159.2013.tb06212.x . Yoon J.-K. Park H.-W. Son J.-S. The study of picture quality of OLED TV with WRGB OLEDs structure Soc. Inf. Disp. 44 1 326 329 2013 https://doi.org/10.1002/j.2168-0159.2013.tb06212.x
[8] Y. G. Huang, E. L. Hsiang, M. Y. Deng, and S. T. Wu, “Mini-LED, micro-LED and OLED displays: present status and future perspectives,” Light Sci. Appl. , vol. 9, no. 1, p. 105, 2020, https://doi.org/10.1038/s41377-020-0341-9 . Huang Y. G. Hsiang E. L. Deng M. Y. Wu S. T. Mini-LED, micro-LED and OLED displays: present status and future perspectives Light Sci. Appl. 9 1 105 2020 https://doi.org/10.1038/s41377-020-0341-9
[9] L. H. Smith, J. A. E. Wasey, and W. L. Barnes, “Light outcoupling efficiency of top-emitting organic light-emitting diodes,” Appl. Phys. Lett. , vol. 84, no. 16, pp. 2986-2988, 2004, https://doi.org/10.1063/1.1712036 . Smith L. H. Wasey J. A. E. Barnes W. L. Light outcoupling efficiency of top-emitting organic light-emitting diodes Appl. Phys. Lett. 84 16 2986 2988 2004 https://doi.org/10.1063/1.1712036
[10] J. Chan, A. D. Rakic, C. Y. Kwong, et al.., “Optimization of organic light emitting diode structures,” Proc. SPIE , vol. 5277, pp. 311-319, 2004, https://doi.org/10.1117/12.522861 . Chan J. Rakic A. D. Kwong C. Y. Optimization of organic light emitting diode structures Proc. SPIE 5277 311 319 2004 https://doi.org/10.1117/12.522861
[11] W. G. Quirino, K. C. Teixeira, C. Legnani, et al.., “Improved multilayer OLED architecture using evolutionary genetic algorithm,” Thin Solid Films , vol. 518, no. 5, pp. 1382-1385, 2009, https://doi.org/10.1016/j.tsf.2009.09.117 . Quirino W. G. Teixeira K. C. Legnani C. Improved multilayer OLED architecture using evolutionary genetic algorithm Thin Solid Films 518 5 1382 1385 2009 https://doi.org/10.1016/j.tsf.2009.09.117
[12] J. Lee, T. H. Han, M. H. Park, et al.., “Synergetic electrode architecture for efficient graphene-based flexible organic light-emitting diodes,” Nat. Commun. , vol. 7, p. 11791, 2016, https://doi.org/10.1038/ncomms11791 . Lee J. Han T. H. Park M. H. Synergetic electrode architecture for efficient graphene-based flexible organic light-emitting diodes Nat. Commun. 7 11791 2016 https://doi.org/10.1038/ncomms11791
[13] C. C. Nadell, B. H. Huang, J. M. Malof, and W. J. Padilla, “Deep learning for accelerated all-dielectric metasurface design,” Opt. Express , vol. 27, no. 20, pp. 27523-27535, 2019, https://doi.org/10.1364/oe.27.027523 . Nadell C. C. Huang B. H. Malof J. M. Padilla W. J. Deep learning for accelerated all-dielectric metasurface design Opt. Express 27 20 27523 27535 2019 https://doi.org/10.1364/oe.27.027523
[14] Y. Kiarashinejad, S. Abdollahramezani, and A. Adibi, “Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures,” Npj Comput. Mater. , vol. 6, no. 1, p. 12, 2020, https://doi.org/10.1038/s41524-020-0276-y . Kiarashinejad Y. Abdollahramezani S. Adibi A. Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures Npj Comput. Mater. 6 1 12 2020 https://doi.org/10.1038/s41524-020-0276-y
[15] I. Malkiel, M. Mrejen, A. Nagler, U. Arieli, L. Wolf, and H. Suchowski, “Plasmonic nanostructure design and characterization via deep learning,” Light Sci. Appl. , vol. 7, p. 60, 2018, https://doi.org/10.1038/s41377-018-0060-7 . Malkiel I. Mrejen M. Nagler A. Arieli U. Wolf L. Suchowski H. Plasmonic nanostructure design and characterization via deep learning Light Sci. Appl. 7 60 2018 https://doi.org/10.1038/s41377-018-0060-7
[16] P. R. Wiecha and O. L. Muskens, “Deep learning meets nanophotonics: a generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures,” Nano Lett. , vol. 20, no. 1, pp. 329-338, 2020, https://doi.org/10.1021/acs.nanolett.9b03971 . Wiecha P. R. Muskens O. L. Deep learning meets nanophotonics: a generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures Nano Lett. 20 1 329 338 2020 https://doi.org/10.1021/acs.nanolett.9b03971
[17] W. Ma, F. Cheng, and Y. M. Liu, “Deep-learning-enabled on-demand design of chiral metamaterials,” ACS Nano , vol. 12, no. 6, pp. 6326-6334, 2018, https://doi.org/10.1021/acsnano.8b03569 . Ma W. Cheng F. Liu Y. M. Deep-learning-enabled on-demand design of chiral metamaterials ACS Nano 12 6 6326 6334 2018 https://doi.org/10.1021/acsnano.8b03569
[18] J. Lenaerts, H. Pinson, and V. Ginis, “Artificial neural networks for inverse design of resonant nanophotonic components with oscillatory loss landscapes,” Nanophotonics , vol. 10, no. 1, pp. 385-392, 2021, https://doi.org/10.1515/9783110710687-029 . Lenaerts J. Pinson H. Ginis V. Artificial neural networks for inverse design of resonant nanophotonic components with oscillatory loss landscapes Nanophotonics 10 1 385 392 2021 https://doi.org/10.1515/9783110710687-029
[19] J. Peurifoy, Y. C. Shen, L. Jing, et al.., “Nanophotonic particle simulation and inverse design using artificial neural networks,” Sci. Adv. , vol. 4, no. 6, 2018, Art no. eaar4206, https://doi.org/10.1126/sciadv.aar4206 . Peurifoy J. Shen Y. C. Jing L. Nanophotonic particle simulation and inverse design using artificial neural networks Sci. Adv. 4 6 2018 eaar4206 https://doi.org/10.1126/sciadv.aar4206
[20] J. Q. Jiang, D. Sell, S. Hoyer, J. Hickey, J. J. Yang, and J. A. Fan, “Free-form diffractive metagrating design based on generative adversarial networks,” ACS Nano , vol. 13, no. 8, pp. 8872-8878, 2019, https://doi.org/10.1021/acsnano.9b02371 . Jiang J. Q. Sell D. Hoyer S. Hickey J. Yang J. J. Fan J. A. Free-form diffractive metagrating design based on generative adversarial networks ACS Nano 13 8 8872 8878 2019 https://doi.org/10.1021/acsnano.9b02371
[21] Z. C. Liu, D. Y. Zhu, S. P. Rodrigues, K. T. Lee, and W. S. Cai, “Generative model for the inverse design of metasurfaces,” Nano Lett. , vol. 18, no. 10, pp. 6570-6576, 2018, https://doi.org/10.1021/acs.nanolett.8b03171 . Liu Z. C. Zhu D. Y. Rodrigues S. P. Lee K. T. Cai W. S. Generative model for the inverse design of metasurfaces Nano Lett. 18 10 6570 6576 2018 https://doi.org/10.1021/acs.nanolett.8b03171
[22] F. F. Wen, J. Q. Jiang, and J. A. Fan, “Robust freeform metasurface design based on progressively growing generative networks,” ACS Photonics , vol. 7, no. 8, pp. 2098-2104, 2020, https://doi.org/10.1021/acsphotonics.0c00539 . Wen F. F. Jiang J. Q. Fan J. A. Robust freeform metasurface design based on progressively growing generative networks ACS Photonics 7 8 2098 2104 2020 https://doi.org/10.1021/acsphotonics.0c00539
[23] J. Q. Jiang and J. A. Fan, “Global optimization of dielectric metasurfaces using a physics-driven neural network,” Nano Lett. , vol. 19, no. 8, pp. 5366-5372, 2019, https://doi.org/10.1021/acs.nanolett.9b01857 . Jiang J. Q. Fan J. A. Global optimization of dielectric metasurfaces using a physics-driven neural network Nano Lett. 19 8 5366 5372 2019 https://doi.org/10.1021/acs.nanolett.9b01857
[24] I. Sajedian, J. Kim, and J. Rho, “Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks,” Microsyst. Nanoeng. , vol. 5, p. 27, 2019, https://doi.org/10.1038/s41378-019-0069-y . Sajedian I. Kim J. Rho J. Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks Microsyst. Nanoeng. 5 27 2019 https://doi.org/10.1038/s41378-019-0069-y
[25] W. Ma, F. Cheng, Y. H. Xu, Q. L. Wen, and Y. M. Liu, “Probabilistic representation and inverse design of metamaterials based on a deep generative model with semi-supervised learning strategy,” Adv. Mater. , vol. 31, no. 35, 2019, Art no. 1901111, https://doi.org/10.1002/adma.201901111 . Ma W. Cheng F. Xu Y. H. Wen Q. L. Liu Y. M. Probabilistic representation and inverse design of metamaterials based on a deep generative model with semi-supervised learning strategy Adv. Mater. 31 35 2019 1901111 https://doi.org/10.1002/adma.201901111
[26] M. A. Bin Janai, K. L. Woon, and C. S. Chan, “Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach,” Org. Electron. , vol. 63, pp. 257-266, 2018, https://doi.org/10.1016/j.orgel.2018.09.029 . Bin Janai M. A. Woon K. L. Chan C. S. Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach Org. Electron. 63 257 266 2018 https://doi.org/10.1016/j.orgel.2018.09.029
[27] R. Gomez-Bombarelli, J. Aguilera-Iparraguirre, T. D. Hirzel, et al.., “Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach,” Nat. Mater. , vol. 15, no. 10, pp. 1120-1127, 2016, https://doi.org/10.1038/nmat4717 . Gomez-Bombarelli R. Aguilera-Iparraguirre J. Hirzel T. D. Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach Nat. Mater. 15 10 1120 1127 2016 https://doi.org/10.1038/nmat4717
[28] Shahnawaz, S. S. Swayamprabha, M. R. Nagar, et al.., “Hole-transporting materials for organic light-emitting diodes: an overview,” J. Mater. Chem. C , vol. 7, no. 24, pp. 7144-7158, 2019, https://doi.org/10.1039/c9tc01712g . Shahnawaz Swayamprabha S. S. Nagar M. R. Hole-transporting materials for organic light-emitting diodes: an overview J. Mater. Chem. C 7 24 7144 7158 2019 https://doi.org/10.1039/c9tc01712g
[29] R. R. Chance, A. Prock, and R. Silbey, “Molecular fluorescence and energy transfer near metal interfaces,” Adv. Chem. Phys ., vol. 37, pp. 1-65, 1978. Chance R. R. Prock A. Silbey R. Molecular fluorescence and energy transfer near metal interfaces Adv. Chem. Phys 37 1 65 1978
[30] D. J. Liu, Y. X. Tan, E. Khoram, and Z. F. Yu, “Training deep neural networks for the inverse design of nanophotonic structures,” ACS Photonics , vol. 5, no. 4, pp. 1365-1369, 2018, https://doi.org/10.1021/acsphotonics.7b01377 . Liu D. J. Tan Y. X. Khoram E. Yu Z. F. Training deep neural networks for the inverse design of nanophotonic structures ACS Photonics 5 4 1365 1369 2018 https://doi.org/10.1021/acsphotonics.7b01377
[31] C. Yeung, J. M. Tsai, B. King, et al.., “Multiplexed supercell metasurface design and optimization with tandem residual networks,” Nanophotonics , vol. 10, no. 3, pp. 1133-1143, 2021, https://doi.org/10.1515/nanoph-2020-0549 . Yeung C. Tsai J. M. King B. Multiplexed supercell metasurface design and optimization with tandem residual networks Nanophotonics 10 3 1133 1143 2021 https://doi.org/10.1515/nanoph-2020-0549
[32] J. M. Johnson and Y. Rahmatsamii, “Genetic algorithm optimization and its application to antenna design,” in Proc. of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting , Seattle, WA, USA, IEEE, vol. 1, 1994, pp. 326-329. https://doi.org/10.1109/APS.1994.407746 . Johnson J. M. Rahmatsamii Y. Genetic algorithm optimization and its application to antenna design Proc. of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting 1 1994 326 329 https://doi.org/10.1109/APS.1994.407746
[33] K. Stanislawska, K. Krawiec, and T. Vihma, “Genetic programming for estimation of heat flux between the atmosphere and sea ice in polar regions,” in Proc. of the 2015 Annual Conf. on Genetic and Evolutionary Computation , Madrid, Spain, Association for Computing Machinery, 2015, pp. 1279-1286. https://doi.org/10.1145/2739480.2754675 . Stanislawska K. Krawiec K. Vihma T. Genetic programming for estimation of heat flux between the atmosphere and sea ice in polar regions Proc. of the 2015 Annual Conf. on Genetic and Evolutionary Computation 2015 1279 1286 https://doi.org/10.1145/2739480.2754675
[34] G. J. Tan, J. H. Lee, S. C. Lin, R. D. Zhu, S. H. Choi, and S. T. Wu, “Analysis and optimization on the angular color shift of RGB OLED displays,” Opt. Express , vol. 25, no. 26, pp. 33629-33642, 2017, https://doi.org/10.1364/oe.25.033629 . Tan G. J. Lee J. H. Lin S. C. Zhu R. D. Choi S. H. Wu S. T. Analysis and optimization on the angular color shift of RGB OLED displays Opt. Express 25 26 33629 33642 2017 https://doi.org/10.1364/oe.25.033629
[35] Y. N. Lai, C. H. Chang, P. C. Wang, and Y. H. Chu, “Highly efficient flexible organic light-emitting diodes based on a high-temperature durable mica substrate,” Org. Electron. , vol. 75, 2019, Art no. 105442, https://doi.org/10.1016/j.orgel.2019.105442 . Lai Y. N. Chang C. H. Wang P. C. Chu Y. H. Highly efficient flexible organic light-emitting diodes based on a high-temperature durable mica substrate Org. Electron. 75 2019 105442 https://doi.org/10.1016/j.orgel.2019.105442
[36] E. Archer, S. Hillebrandt, C. Keum, et al.., “Accurate efficiency measurements of organic light-emitting diodes via angle-resolved spectroscopy,” Adv. Opt. Mater. , vol. 9, no. 1, 2021, Art no. 2000838, https://doi.org/10.1002/adom.202000838 . Archer E. Hillebrandt S. Keum C. Accurate efficiency measurements of organic light-emitting diodes via angle-resolved spectroscopy Adv. Opt. Mater. 9 1 2021 2000838 https://doi.org/10.1002/adom.202000838
[37] M. Thomschke, R. Nitsche, M. Furno, and K. Leo, “Optimized efficiency and angular emission characteristics of white top-emitting organic electroluminescent diodes,” Appl. Phys. Lett. , vol. 94, no. 8, 2009, Art no. 083303, https://doi.org/10.1063/1.3088854 . Thomschke M. Nitsche R. Furno M. Leo K. Optimized efficiency and angular emission characteristics of white top-emitting organic electroluminescent diodes Appl. Phys. Lett. 94 8 2009 083303 https://doi.org/10.1063/1.3088854
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