Results 231 to 240 of about 165,217 (309)

Multi‐Force‐Driven Self‐Recoverable SWIR Mechanoluminescence for Underwater Communication

Advanced Science, EarlyView.
This study represents the first demonstration of self‐recoverable mechanoluminescent (ML) within a single material across diverse mechanical modes, enabled by the synergistic coupling of piezoelectric and triboelectric effects. Through a combinatorial doping approach, the MgNb2O6 crystal exhibits breakthrough short‐wavelength infrared ML performance ...
Jie Sun, Yingqiang Li, Lei Wang, Li Li, Bo Zhao, Yu Wang, Yu Zhang, Xian Zheng, Jiale Zhang, Xinhong Wen, Guodong Zhang, Zhijun Wang, Panlai Li, Hao Suo   +13 more
wiley   +1 more source

Sensitized Disequilibration of Water‐Soluble Azopolymers

Angewandte Chemie, EarlyView.
Disequilibration by sensitization under confinement (DESC) is a promising strategy for efficient visible‐light‐induced azobenzene E→Z isomerization. In this article, we explored key factors for adapting DESC to azopolymers, eventually achieving efficiencies up to 85% compared to direct excitation and laying the foundation for more complex systems ...
Henning Jörn Meteling, Julius Gemen, Satu Häkkinen, Rafal Klajn, Arri Priimagi   +4 more
wiley   +2 more sources

Numerical analysis of CORONAVIRUS detection using Photonic Crystal Fiber based SPR Sensor

, 2022
Gupta A, Singh T, Singh Rk, Tiwari A.
europepmc   +1 more source

Analytical modeling of the gas-filling dynamics in photonic crystal fibers

, 2010
Isabelle Dicaire, Jean‐Charles Beugnot, Luc Thévenaz   +2 more
openalex   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Evaluation of THz wave transmission performance in TOPAS-based heptagonal photonic crystal fiber (He-PCF). [PDF]

Heliyon
Hossain MS, Hossen R, Al-Amin M, Ahmed S, Sen S.   +4 more
europepmc   +1 more source

Ultrahigh-resolution optical coherence tomography at 1.15 μm using photonic crystal fiber with no zero-dispersion wavelengths

, 2007
Hui Wang, Christine P. Fleming, Andrew M. Rollins   +2 more
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Numerical exploration of multi-octave spanned supercontinuum generation with high coherence in single material photonic crystal fiber. [PDF]

Heliyon
Salimullah SM, Faisal M.
europepmc   +1 more source

Dynamic Tunable Liquid-Core Photonic Crystal Fiber Sensor Based on Graphene Plasmon [PDF]

Wei Luo, Syeda Aimen Abbasi, Xuejin Li, Ho‐Pui Ho, Wu Yuan   +4 more
openalex   +1 more source