Geometric Shape Optimization of Organic Solar Cells for Efficiency Enhancement by Neural Networks

2016 ◽  
pp. 789-796 ◽  
Author(s):  
Grazia LO SCIUTO ◽  
Giacomo CAPIZZI ◽  
Salvatore COCO ◽  
Raphael SHIKLER
Keyword(s):  
Neural Networks ◽  
Solar Cells ◽  
Shape Optimization ◽  
Organic Solar Cells ◽  
Geometric Shape ◽  
Efficiency Enhancement

Characterisation and Modeling of Organic Solar Cells by Using Radial Basis Neural Networks

2016 ◽  
pp. 91-103 ◽  
Author(s):  
Dor Gotleyb ◽  
Grazia Lo Sciuto ◽  
Christian Napoli ◽  
Rafi Shikler ◽  
Emiliano Tramontana ◽  
...  
Keyword(s):  
Neural Networks ◽  
Solar Cells ◽  
Organic Solar Cells ◽  
Radial Basis Neural Networks ◽  
Radial Basis

Efficiency enhancement of a fluorinated wide-bandgap polymer for ternary nonfullerene organic solar cells

Polymer ◽  
2020 ◽  
Vol 188 ◽  
pp. 122131 ◽  
Author(s):  
Chang Eun Song ◽  
Hyobin Ham ◽  
Jiwoong Noh ◽  
Sang Kyu Lee ◽  
In-Nam Kang
Keyword(s):  
Solar Cells ◽  
Organic Solar Cells ◽  
Wide Bandgap ◽  
Efficiency Enhancement ◽  
Wide Bandgap Polymer

Efficiency enhancement of semitransparent organic solar cells by using printed dielectric mirrors (Presentation Recording)

2015 ◽  
Author(s):  
Carina Bronnbauer ◽  
Karen K. Forberich ◽  
Fei Guo ◽  
Nicola Gasparini ◽  
Christoph J. Brabec
Keyword(s):  
Solar Cells ◽  
Organic Solar Cells ◽  
Efficiency Enhancement ◽  
Dielectric Mirrors

Texture design of electrodes for efficiency enhancement of organic solar cells

2013 ◽  
Vol 1 (7) ◽  
pp. 2379 ◽  
Author(s):  
Junjie Li ◽  
Lijian Zuo ◽  
Hongbin Pan ◽  
Hao Jiang ◽  
Tao Liang ◽  
...  
Keyword(s):  
Solar Cells ◽  
Organic Solar Cells ◽  
Efficiency Enhancement ◽  
Texture Design

scholarly journals Efficiency Enhancement in Organic Solar Cells With Extended Resonance Spectrum of Localized Surface Plasmon

2013 ◽  
Vol 5 (4) ◽  
pp. 8400307-8400307 ◽  
Author(s):  
Fang Liu ◽  
Di Qu ◽  
Qi Xu ◽  
Xujie Pan ◽  
Kaiyu Cui ◽  
...  
Keyword(s):  
Solar Cells ◽  
Surface Plasmon ◽  
Organic Solar Cells ◽  
Resonance Spectrum ◽  
Localized Surface Plasmon ◽  
Efficiency Enhancement

scholarly journals Application of Artificial Intelligence for Optimization of Organic Solar Cells Production Process

2020 ◽  
Vol 12 (2) ◽  
pp. 34
Author(s):  
Grazia Lo Sciuto
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Solar Cells ◽  
Computer Science ◽  
Organic Solar Cells ◽  
Full Potential ◽  
Production Chain ◽  
Lecture Notes ◽  
Occurrence Matrix ◽  
Conversion Efficiencies

The study of organic solar cells (OSCs) has been rapidly developed in recent years. Organic solar cell technology is sought after mainly due to the ease of manufacture and their exclusive properties such as mechanical flexibility, light-weight, and transparency. These properties of OSCs are well-suited for unconventional applications with power conversion efficiencies more high than 10%. The flexibility of the used substrates and the thinness of the devices make OSCs ideal for roll-to-roll production. However the organic solar cells still have very low conversion efficiencies due to degradation and stability of the technology. In order to extract their full potential, OSCs have to be optimized. On the other hand the production chain of the organic solar cells (OSC) can take advantage of the use of artificial intelligence (AI). In fact the integration into the production workflow makes solar cells more competitive and efficient. This paper presents some applications of the AI for optimization of OSCs production processes Full Text: PDF ReferencesLo Sciuto, G., Capizzi, G., Coco, S., Shikler, R., "Geometric shape optimization of organic solar cells for efficiency enhancement by neural networks." (2017) Lecture Notes in Mechanical Engineering, pp. 789-796. CrossRef Barnea, S.N., Lo Sciuto, G., Hai, N., Shikler, R., Capizzi, G., Wozniak, M., Polap, D., "Photo-electro characterization and modeling of organic light-emitting diodes by using a radial basis neural network." (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, pp. 378-389. CrossRef Ye, L.; Hu, H.; Ghasemi, M.; Wang, T.; Collins, B.A.; Kim, J.H.; Jiang, K.; Carpenter, J.H.; Li, H.; Li, Z.; et al. "Quantitative relations between interaction parameter, miscibility and function in organic solar cells." Nat. Mater. 2018, 17, 253-260. CrossRef Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC-3(6), 610-621 (1973) CrossRef Capizzi, G., Sciuto, G.L., Napoli, C., Tramontana, E., Wozniak, M.: Automatic classification of fruit defects based on co-occurrence matrix and neural networks. In: 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 861-867, September 2015. CrossRef

Enhanced open circuit voltage of small molecule acceptors containing angular-shaped indacenodithiophene units for P3HT-based organic solar cells

2018 ◽  
Vol 6 (45) ◽  
pp. 12347-12354 ◽  
Author(s):  
Hongyan Huang ◽  
Bo Xiao ◽  
Chengting Huang ◽  
Jing Zhang ◽  
Shuli Liu ◽  
...  
Keyword(s):  
Solar Cells ◽  
Small Molecule ◽  
Organic Solar Cells ◽  
Open Circuit Voltage ◽  
Photovoltaic Performance ◽  
Open Circuit ◽  
Geometric Shape ◽  
Charge Mobility ◽  
Film Forming

The effects of the geometric shape of l-IDT and a-IDT subunits on the thermal, optical, electrochemical and film-forming properties, the charge mobility and the photovoltaic performance of the resulting acceptors were investigated.

scholarly journals Hydrogen and nitrogen codoping of anatase TiO2 for efficiency enhancement in organic solar cells

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Maria Vasilopoulou ◽  
Nikolaos Kelaidis ◽  
Ermioni Polydorou ◽  
Anastasia Soultati ◽  
Dimitris Davazoglou ◽  
...  
Keyword(s):  
Solar Cells ◽  
Organic Solar Cells ◽  
Anatase Tio2 ◽  
Efficiency Enhancement
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