Results 101 to 110 of about 116,729 (347)
Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics
Advanced Electronic Materials, EarlyView.Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim +7 more
wiley +1 more source
EXPERIMENTAL ANALYSIS OF INNOVATIVE ACOUSTIC MA-TERIALS FOR ENGINE NOISE CONTROL IN VEHICLES [PDF]
, 2019 Due to the continuous evolution of vehicle noise regulations, the automotive industry is increasingly looking for more efficient engine bay design solutions to control noise coming from the engine.
Alfonso, Molaro +5 more
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A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Optimization Design and Experimental Testing of Sound Insulation Performance for Silent Cabins
Applied SciencesThis study investigates the sound insulation performance of an anechoic chamber, exploring the influence patterns of different multilayer material combinations on wall sound insulation characteristics.
Li Tang +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Advanced 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
Study of the charge profile of thermally poled electrets [PDF]
, 2016 The charge profile of thermally poled electrets has been studied using two different methods, laser induced pressure pulse (LIPP) and pulsed electroacoustic (PEA), to gain insight into the mechanisms that are activated and assess which is the most ...
Colom, X. +3 more
core +2 more sources
Advanced Intelligent Systems, EarlyView.Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
Advances in Polymer Technology, 2019 Lightweight sound insulation materials have received much attention. In this study, a series of superfine metal powder (SFM)/nitrile-butadiene rubber (NBR)-polyvinyl chloride (PVC) microcellular foaming materials were prepared with NBR-PVC as matrix and ...
Sheng Hu +3 more
doaj +1 more source
Acoustic evaluation of beam and pot slabs with lightweight regularization layers: a case study [PDF]
, 2004 The objective of this work is to evaluate the acoustic performance of beam and pot slabs with regularization layers made of lightweight concrete. The study consists on the analysis of the acoustic behaviour of three types of solutions, through the ...
Almeida, Manuela Guedes de +3 more
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