Results 111 to 120 of about 299,226 (303)

Piezo‐Coupling Effects in Smart Polymers: Toward Ultrasensitive Sensing and Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Piezo‐coupling effects are the foundational factors for the development of multifunctional and self‐powered platforms. Central to this advancement is the use of stimuli‐responsive smart polymers, which offer mechanical flexibility, biocompatibility, and simplified structural complexity with improved sensitivity and energy efficiency.
Duc Khanh Tran   +6 more
wiley   +1 more source

Broadband low-frequency diffuse sound transmission loss of multilayer composite plate-type metamaterials

open access: yesComposites Part C: Open Access
Low-frequency sound insulation is one of the most challenging problems in the field of noise control engineering because of the classical mass law. Recent studies have shown that acoustic metamaterials can achieve a sound transmission loss (STL) higher ...
Boxin Chang   +4 more
doaj   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Feasibility study of silica aerogel nanocomposites application to enhance acoustic properties

open access: yesسلامت و محیط, 2020
Background and Objective: Noise pollution is one of the serious environmental issue. Sound control technologies based on sound absorption and sound insulation are considered as the two widely used methods.
Mansoureh Hamidi   +4 more
doaj  

Sound Transmission Loss of a Sandwich Plate with Adjustable Core Layer Thickness. [PDF]

open access: yesMaterials (Basel), 2020
Ehrig T   +5 more
europepmc   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

open access: yesAdvanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang   +5 more
wiley   +1 more source

Sound intensity: state-of-the art in noise control of buildings

open access: yesArchives of Acoustics, 2014
This paper summarizes the progress that has been made in the application of sound intensity techniques related to the research of sound transmission loss in building acoustics.
A. COPS
doaj  

Modelling the Acoustic Properties of Baffles Made of Porous and Fibrous Materials

open access: yesArchives of Acoustics
The research described in the article addresses the problem of measurement, prediction and practical use of the acoustic properties of materials determined in an impedance tube.
Krzysztof KOSAŁA
doaj   +1 more source

Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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