Results 111 to 120 of about 1,633,491 (322)

RoHS‐Compliant, Cu‐Zn‐In‐Se‐Based Core/Multi‐shell Quantum Dots with Efficient and Tunable Short‐Wave Infrared Emission

Advanced Functional Materials, EarlyView.
An innovative combination of size‐controlled template synthesis, partial cation exchange reactions, and dual shell passivation offers a new class of RoHS‐compliant, heavy metal‐free Cu‐Zn‐In‐Se/ZnS/Al2O3 core/shell/shell quantum dots (QDs), exhibiting long‐range tunability, highly efficient SWIR emission with remarkably narrow photoluminescence ...
Avijit Saha, Morena Cervino, Hossein Roshan, René Hübner, Angelika Wrzesińska‐Lashkova, Christine Steinbach, Yana Vaynzof, Francesco Di Stasio, Vladimir Lesnyak   +8 more
wiley   +1 more source

Upconversion Nanoparticles Embedded Photonic Contact Lens for Transepithelial Corneal Crosslinking Using Hyaluronate – Riboflavin Conjugate

Advanced Functional Materials, EarlyView.
A minimally invasive, transepithelial corneal cross‐linking (TE‐CXL) approach is presented using upconversion nanoparticles (UCNPs)‐loaded contact lenses (UCLs), after topical delivery of hyaluronate–riboflavin conjugates. The NIR‐to‐UV/blue light conversion by UCNPs in a UCL can activate riboflavin for TE‐CXL, resulting in the biomechanical strength ...
Gibum Lee, Inhoo Choi, Anara Molkenova, Yengwoo Son, Seungmin Yang, Mina Kwon, Tae‐Im Kim, Ki Su Kim, Sei Kwang Hahn   +8 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Phenotyping on microscopic scale using DIC microscopy [PDF]

, 2014
Image analysis of Arabidopsis (Arabidopsis thaliana) plants is an important method for studying plant growth. Most work on automated analysis focuses on full rosette analysis, often in a high-throughput monitoring system.
De Vylder, Jonas, Dhondt, Stijn, Inzé, Dirk, Luong, Hiep, Philips, Wilfried   +4 more
core   +1 more source

Dynamics of color vision recovery in Vogt-Koyanagi-Harada disease: a longitudinal study using cone contrast test and adaptive optics imaging

Journal of Ophthalmic Inflammation and Infection
Background Vogt-Koyanagi-Harada (VKH) disease affects visual function, but the recovery process of color vision remains incompletely understood.
Tomoko Nakamura, Shinya Abe, Hitoshi Yamazaki, Toshihiko Oiwake, Atsushi Hayashi   +4 more
doaj   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning [PDF]

, 2023
Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong, Su, Hang, Hong, Richang   +5 more
openalex   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

ViTCN: Vision Transformer Contrastive Network for Reasoning

2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
Machine learning models have achieved significant milestones in various domains, for example, computer vision models have an exceptional result in object recognition, and in natural language processing, where Large Language Models (LLM) like GPT can start a conversation with human-like proficiency.
Song, Bo, Xu, Yuanhao, Wu, Yichao
openaire   +2 more sources

The Effect of Color Filters on the Visual Acuity and Contrast Sensitivity in Low Vision Patients

Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2010
BACKGROUND AND OBJECTIVE: Low vision is defined as, distance visual acuity in the better eye is 20/200 or less or visual field in better eye is less than 20 degree. In this patient contrast sensitivity decreased. The use of colored filter for improve the
M Mahjoob,, J Heravian, MH Validad,, H Momeni Moghadam, T Hosini, R Tavakoli   +5 more
doaj