Results 111 to 120 of about 9,706 (265)
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
A high efficiency wideband co‐polarised metalens antenna
The traditional co‐polarised metasurface achieves 360° phase coverage only at the resonant frequency but not full phase coverage across a wide bandwidth. This paper proposes a multilayer structure metasurface, which composes of five layers of metal patch
JiaJun Liang +3 more
doaj +1 more source
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi +4 more
wiley +1 more source
Terahertz metasurface enabled by barium strontium titanate ferroelectric film
In this paper, a Ba0.5Sr0.5TiO3 (BST) ferroelectric film is prepared and characterized in the terahertz band. Subsequently, based on the prepared BST film, a metasurface is proposed to manipulate electromagnetic waves.
Fu Yuan, Fu Xiaojian, Guo Yunsheng
doaj +1 more source
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha +5 more
wiley +1 more source
A compact low-profile multi-band millimeter-wave (mm-wave) reflectarray metasurface design is presented for coverage enhancement in 5G and beyond cellular communication.
Bilal Tariq Malik +2 more
doaj +1 more source
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley +1 more source
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li +14 more
wiley +1 more source
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary +5 more
wiley +1 more source
The state‐of‐the‐art research advances and its cutting‐edge application in super resolution stimulated emission depletion technology based on luminescent lanthanide nanocrystals. Abstract Stimulated emission depletion (STED) microscopy overcomes the diffraction limit to reveal subcellular structures beyond the reach of conventional optical methods ...
Yaqi Chen +4 more
wiley +1 more source

