Effect of Boric Acid Doped Pedot:PSS Layer on the Photovoltaic Parameters of P3HT:PCBM Based PV Cell

Eyecioğlu, Önder; Beken, Murat; Yağci, Özlem; İçelli, Orhan

doi:10.1109/icrera.2018.8566811

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Among them, organic solar cells have attracted a great deal of attentions owing to several advantages, including wide range of applicable materials, low-cost, and compatible with flexible substrates [2]. Organic solar cell a third generation photovoltaic cell, consists of an organic photovoltaic active layer placed between a transparent electrode and a metal electrode [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis on Hotspot Technologies and Cutting-edge Technologies of Organic Solar Cells Based on Patent Data

Chen

2019

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)

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The objective of this paper is to identify and forecast the technological development of organic solar cells by the analysis of patents. This paper researches the unsupervised machine learning methods and complex network theory. Based on the Python language, the K-means++ algorithm is used to cluster the data for discovering hotspot technologies, the theory of structure holes is used to identify potential cutting-edge technologies. The results indicate the hotspot technologies of organic solar cells are mainly involved in the five fields: device architecture and morphology control, electrode and electron transport layer design, active layer design, interface materials and fabrication, battery assembly and packaging process. And the potential cutting-edge technologies include: fabrication and morphology of active layer, device structure and interface engineering, transparent electrodes and substrates, donor and acceptor materials, and so on. The proposed analysis framework in this paper is applicable to different science and technology domains. Keywords-Organic solar cells; technological forecasting; patent text-mining; machine learning; complex networks Özet-Bu yazının amacı, patentlerin analizi ile organik güneş pillerinin teknolojik gelişimini tanımlamak ve tahmin etmektir. Bu makale, denetimsiz makine öğrenme yöntemlerini ve karmaşık ağ teorisini araştırmaktadır. Python diline dayanarak, sıcak nokta teknolojilerini keşfetmek için verileri kümelemek için K-means ++ algoritması kullanılır, potansiyel delik teknolojilerini tanımlamak için yapı delikleri teorisi kullanılır. Sonuçlar organik güneş pillerinin sıcak nokta teknolojilerinin temel olarak beş alanda yer aldığını göstermektedir: cihaz mimarisi ve morfoloji kontrolü, elektrot ve elektron taşıma katmanı tasarımı, aktif katman tasarımı, arayüz malzemeleri ve imalatı, pil montajı ve paketleme işlemi. Ve potansiyel en son teknolojiler şunları içerir: aktif katmanın imalatı ve morfolojisi, cihaz yapısı ve arayüz mühendisliği, şeffaf elektrotlar ve substratlar, verici ve alıcı malzemeler, vb. Bu makalede önerilen analiz çerçevesi farklı bilim ve teknoloji alanlarına uygulanabilir. Anahtar Kelimeler-Organik güneş pilleri; teknolojik tahmin; patent metni madenciliği; makine öğrenme; karmaşık ağlar

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Section: Introductionmentioning

confidence: 99%

Analysis on Hotspot Technologies and Cutting-edge Technologies of Organic Solar Cells Based on Patent Data

Chen

2019

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)

View full text Add to dashboard Cite

show abstract

Effect of Boric Acid Doped Pedot:PSS Layer on the Photovoltaic Parameters of P3HT:PCBM Based PV Cell

Cited by 1 publication

References 8 publications

Analysis on Hotspot Technologies and Cutting-edge Technologies of Organic Solar Cells Based on Patent Data

Analysis on Hotspot Technologies and Cutting-edge Technologies of Organic Solar Cells Based on Patent Data

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