nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network

verfasst von : Shiran Nabha Barnea, Grazia Lo Sciuto, Nathaniel Hai, Rafi Shikler, Giacomo Capizzi, Marcin Woźniak, Dawid Połap

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In this paper we present a new RBFNNs neural networks based model to relate the overall OLEDs electroluminescent density as a function of the voltage and current at different wavelengths. The polymer-based OLEDs considered in this paper are realized in the Optoelectronic Organic Semiconductor Devices Laboratory at Ben Gurion University of the Negev. The simulation results show a good agreement between the experimental data and those obtained with the proposed model. This results prove that the model is capable of repeating and interpreting the experimental data.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Patterns in Serious Game Design and Evaluation Application of Eye-Tracker and Biosensors

Nächstes Kapitel Conditioned Anxiety Mechanism as a Basis for a Procedure of Control Module of an Autonomous Robot

Gómez-Bombarelli, R., et al.: Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach. Nat. Mater. 15(10), 1120–1127 (2016)CrossRef

Smith, J.T., Katchman, B.A., Kullman, D.E., Obahiagbon, U., Lee, Y.K., O’Brien, B.P., Raupp, G.B., Anderson, K.S., Christen, J.B.: Application of flexible oled display technology to point-of-care medical diagnostic testing. J. Disp. Technol. 12(3), 273–280 (2016)CrossRef

Kathirgamanathan, P., Bushby, L.M., Kumaraverl, M., Ravichandran, S., Surendrakumar, S.: Electroluminescent organic and quantum dot leds: the state of the art. J. Disp. Technol. 11(5), 480–493 (2015)CrossRef

Yang, X., Xu, X., Zhou, G.: Recent advances of the emitters for high performance deep-blue organic light-emitting diodes. J. Mater. Chem. C 3(5), 913–944 (2015)CrossRef

Shin, H.-J., Takasugi, S., Park, K.-M., Choi, S.-H., Jeong, Y.-S., Kim, H.-S., Oh, C.-H., Ahn, B.-C.: Technological progress of panel design and compensation methods for large-size UHD OLED TVs. SID Symp. Dig. Tech. Pap. 45(1), 720–723 (2014)CrossRef

Sulír, M., Nosál’, M., Porubän, J.: Recording concerns in source code using annotations. Comput. Lang. Syst. Struct. 46, 44–65 (2016)

Cpalka, K., Zalasinski, M., Rutkowski, L.: A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. Appl. Soft Comput. 43, 47–56 (2016). http://dx.doi.org/10.1016/j.asoc.2016.02.017

Grycuk, R., Gabryel, M., Nowicki, R., Scherer, R.: Content-based image retrieval optimization by differential evolution. In: IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, BC, Canada, 24–29 July 2016, pp. 86–93. IEEE (2016). http://dx.doi.org/10.1109/CEC.2016.7743782

Gabryel, M.: A bag-of-features algorithm for applications using a NoSQL database. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 332–343. Springer, Cham (2016). doi:10.1007/978-3-319-46254-7_26 CrossRef

10.

Chen, H.-T., Choy, W.C., Hui, S.R.: Characterization, modeling, and analysis of organic light-emitting diodes with different structures. IEEE Trans. Power Electron. 31(1), 581–592 (2016)CrossRef

11.

Bender, V.C., Barth, N.D., Mendes, F.B., Pinto, R.A., Alonso, J.M., Marchesan, T.B.: Modeling and characterization of organic light-emitting diodes including capacitance effect. IEEE Trans. Electron Devices 62(10), 3314–3321 (2015)CrossRef

12.

Lin, R.L., Tsai, J.Y., Buso, D., Zissis, G.: OLED equivalent circuit model with temperature coefficient and intrinsic capacitor. In: IEEE Industry Application Society Annual Meeting 2014, pp. 1–8 (2014)

13.

Savaidis, S.P., Stathopoulos, N.A.: Simulation of light emission from planar multilayer OLEDs, using a transmission-line model. IEEE J. Quantum Electron. 45(9), 1089–1099 (2009)CrossRef

14.

Capizzi, G., Sciuto, G., Napoli, C., Tramontana, E.: A multithread nested neural network architecture to model surface plasmon polaritons propagation. Micromachines 7(7) (2016)

15.

Lo Sciuto, G., Susi, G., Cammarata, G., Capizzi, G.: A spiking neural network-based model for anaerobic digestion process, pp. 996–1003 (2016)

16.

Grazia, L.S., Capizzi, G., Salvatore, C., Shikler, R.: Geometric shape optimization of organic solar cells for efficiency enhancement by neural networks. In: Eynard, B., Nigrelli, V., Oliveri, S.M., Peris-Fajarnes, G., Rizzuti, R. (eds.) Advances on Mechanics, Design Engineering and Manufacturing. Lecture Notes in Mechanical Engineering, pp. 789–796. Springer International Publishing, Heidelberg (2017)

17.

Karayiannis, N.B., Mi, G.W.: Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques. IEEE Trans. Neural Netw. 8(6), 1492–1506 (1997)CrossRef

18.

Chen, H.T., Tao, X.H., Hui, S.Y.R.: Estimation of optical power and heat-dissipation coefficient for the photo-electro-thermal theory for led systems. IEEE Trans. Power Electron. 27(4), 2176–2183 (2012)CrossRef

19.

Qi, X., Forrest, S.R.: Thermal analysis of high intensity organic light-emitting diodes based on a transmission matrix approach. J. Appl. Phys. 110(12), 124516-1–124516-11 (2011)CrossRef

Titel: Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network
verfasst von: Shiran Nabha Barnea
Grazia Lo Sciuto
Nathaniel Hai
Rafi Shikler
Giacomo Capizzi
Marcin Woźniak
Dawid Połap
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-59059-2

Electronic ISBN: 978-3-319-59060-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-59060-8_34

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner