Results 81 to 90 of about 37,762 (301)

Editorial for the Special Issue on Optics and Photonics in Micromachines. [PDF]

Micromachines (Basel), 2023
Kuang C, Zhao W.
europepmc   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Building an optics and photonics research ecosystem in South Korea: Collaborative innovation between academia and industry. [PDF]

Light Sci Appl, 2023
Yang Y, Badloe T, Song D, Park S, Rho J.
europepmc   +1 more source

Spiro‐Phenothiazine Hole‐Transporting Materials: Unlocking Stability and Scalability in Perovskite Solar Cells

Advanced Materials, EarlyView.
Fluorene‐functionalized spiro‐phenothiazine (PTZ‐Fl) exhibits strong Li+ affinity and thermal stability, enabling a PCE of 25.75% in small‐area cells and 22.07% in 25 cm2 modules. Under ISOS‐L3 conditions, PTZ‐Flbased devices retain over 80% efficiency after 1000 hours, demonstrating superior stability and scalability compared to spiro‐OMeTAD for next ...
Javier Urieta‐Mora, Seung Ju Choi, Jaeki Jeong, Silvia Orecchio, Inés García‐Benito, Manuel Pérez‐Escribano, Joaquín Calbo, Likai Zheng, Minseop Byun, Seyeong Song, Gi‐Hwan Kim, Shaik M. Zakeeruddin, Seog‐Young Yoon, Yimhyun Jo, Agustín Molina‐Ontoria, Enrique Ortí, Nazario Martín, Michael Grätzel   +17 more
wiley   +1 more source

One-Step Synthesis of High Pure Tris(8-hydroxyquinoline)aluminum for Optics and Photonics. [PDF]

Materials (Basel), 2022
Avetisov R, Kazmina K, Barkanov A, Zykova M, Khomyakov A, Pytchenko A, Avetissov I.   +6 more
europepmc   +1 more source

Success Stories in Photonics Careers 2015-2016

, 2016
This 35-page booklet, published by the National Center for Optics and Photonics Education (OP-TEC), provides information about photonics technicians by examining the lives of 24 technicians that were inducted into the Photonics Alumni Council for ...

core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Robust optical design of high-contrast vehicle headlamps with cylindrical lens array and inverted triangular beam pattern

Scientific Reports
Headlamps are essential for safe night driving, as they must provide sufficient brightness to illuminate the road while minimizing glare for other drivers.
Chi-Shou Wu, Ivan Moreno, Chieh-Hsun Liu, Tsung-Hsun Yang, Yeh-Wei Yu, Ching-Cherng Sun   +5 more
doaj   +1 more source

Tree-CNN: from generalization to specialization

EURASIP Journal on Wireless Communications and Networking, 2018
Traditional convolutional neural networks (CNNs) classify all categories by a single network, which passes all kinds of samples through totally the same network flow.
Shenwang Jiang, Tingfa Xu, Jie Guo, Jizhou Zhang   +3 more
doaj   +1 more source

Special Section Guest Editorial: Wearable, Implantable, Mobile, and Remote Biomedical Optics and Photonics. [PDF]

J Biomed Opt, 2021
Ramella-Roman J, Gandjbakhche AH, Kanick SC, Shadgan B, Tromberg BJ.   +4 more
europepmc   +1 more source