Results 61 to 70 of about 30,372 (259)

On the Reflection of Acoustic Waves on a Rough Surface [PDF]

open access: yesThe Journal of the Acoustical Society of America, 1958
There is no abstract available for this article.
openaire   +2 more sources

Acoustic Surface-Wave Recirculating Memory

open access: yesIEEE Transactions on Sonics and Ultrasonics, 1972
An acoustic-surface-wave memory is described, operating at a bit rate of 220 MHz and storage capacity of 1280 bit per recirculation loop. The transducers are coded using orthogonal pairs of Golay complementary sequences to obtain pulse-in pulse-out behaviour.
H. van de Vaart, L.R. Schissler
openaire   +1 more source

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

open access: yesAdvanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief   +12 more
wiley   +1 more source

Switchable Magnonic Crystals Based on Spin Crossover/CrSBr Heterostructures

open access: yesAdvanced Materials, EarlyView.
Multiscale modeling is employed to investigate the functionality of a light‐controlled, tunable magnonic crystal based on spin‐crossover Fe‐pz molecules integrated with a monolayer of CrSBr. Ab initio simulations confirm that the molecules remain functional on the CrSBr surface, while a semiclassical elastic model demonstrates that light‐induced ...
Andrei Shumilin   +4 more
wiley   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

open access: yesAdvanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu   +5 more
wiley   +1 more source

Surface acoustic waves and devices

open access: yesArchives of Acoustics, 2014
The purpose of this paper is to review the basic physics of surface wave propagation on piezoelectric substrates, and to survey the applications of these waves to various types of devices.
B. A. AULD
doaj  

Parameters of acoustic-surface waves in piezocrystals under high values of temperature [PDF]

open access: yesTekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2008
For high temperature SAW sensors exists the problem of the calculation of the characteristics SAW and searching of optimum orientation for SAW in piezocrystals.
Dvoesherstov M. Yu., Cherednick V.I.
doaj  

Multi Reflection of Lamb Wave Emission in an Acoustic Waveguide Sensor

open access: yesSensors, 2013
Recently, an acoustic waveguide sensor based on multiple mode conversion of surface acoustic waves at the solid—liquid interfaces has been introduced for the concentration measurement of binary and ternary mixtures, liquid level sensing, investigation of
Leonhard Michael Reindl   +5 more
doaj   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

open access: yesAdvanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang   +5 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

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