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Akademický článek

Dimension dependence of current injection path in GaInN/GaN multi-quantum-shell (MQS) nanowire-based light-emitting diode arrays

Autor: Katsuro Sae, Lu Weifang, Ito Kazuma, Nakayama Nanami, Inaba Soma, Shima Ayaka, Yamamura Shiori, Jinno Yukimi, Sone Naoki, Huang Kai, Iwaya Motoaki, Takeuchi Tetsuya, Kamiyama Satoshi

Publikováno v: Nanophotonics, Vol 12, Iss 15, Pp 3077-3087 (2023)

To light emitting diodes (LEDs), solving the common non-uniform current injection and efficiency degradation issues in (0001) plane micro-LED is essential. Herein, we investigated the light emission characteristics of various mesa sizes and different

Externí odkaz: https://doaj.org/article/a393192e52804349af1335bcf63bfe97

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Akademický článek

Suppression of (0001) plane emission in GaInN/GaN multi-quantum nanowires for efficient micro-LEDs

Autor: Katsuro Sae, Lu Weifang, Ito Kazuma, Nakayama Nanami, Yamamura Shiori, Jinno Yukimi, Inaba Soma, Shima Ayaka, Sone Naoki, Han Dong-Pyo, Huang Kai, Iwaya Motoaki, Takeuchi Tetsuya, Kamiyama Satoshi

Publikováno v: Nanophotonics, Vol 11, Iss 21, Pp 4793-4804 (2022)

GaInN/GaN multi-quantum-shell (MQS) nanowires (NWs) are gaining increasing attention as promising materials for developing highly efficient long-wavelength micro-light emitting diodes (LEDs). To improve the emission properties in GaInN/GaN MQS NWs, i

Externí odkaz: https://doaj.org/article/2cbca2d8658448648fd84924f8150d34

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Akademický článek

Emission characteristics of GaInN/GaN multiple quantum shell nanowire-based LEDs with different p-GaN growth conditions

Autor: Katsuro Sae, Lu Weifang, Ito Kazuma, Nakayama Nanami, Sone Naoki, Okuno Koji, Iwaya Motoaki, Takeuchi Tetsuya, Kamiyama Satoshi, Akasaki Isamu

Publikováno v: Nanophotonics, Vol 10, Iss 13, Pp 3441-3450 (2021)

Improving current injection into r- and m-planes of nanowires (NWs) is essential to realizing efficient GaInN/GaN multiple quantum shell (MQS) NW-based light-emitting diodes (LEDs). Here, we present the effects of different p-GaN shell growth conditi

Externí odkaz: https://doaj.org/article/9ab4afbd776a4a9082a9ee5b732604c9

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Report

Machine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation

Autor: Kameda, Keisuke, Ariga, Takaaki, Ito, Kazuma, Ihara, Manabu, Manzhos, Sergei

Development of new functional ceramics is important for several applications, including electrochemical batteries and fuel cells. Computational prescreening and selection of such materials can help discover novel materials but is challenging due to t

Externí odkaz: http://arxiv.org/abs/2406.17197