Results 71 to 80 of about 18,389 (292)

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

Advanced 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, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

AlN-based BAW resonators with CNT electrodes for gravimetric biosensing

, 2011
Solidly mounted resonators (SMRs) with a top carbon nanotubes (CNTs) surface coating that doubles as an electrode and as a sensing layer have been fabricated.
García-Gancedo, Luis, Zhu, Z., G.M. Ashley, A.J. Flewitt, Milne, WI, Milne, W.I., Iborra, E., Luo, J.K., Garcia-Gancedo, L., Luo, J., Lu, JR, Lu, J.R., Iborra, Enrique, Milne, W. I., Lu, J. R., J. Olivares, E. Iborra, X.B. Zhao, Olivares, J, W.I. Milne, Zhu, Z, Iborra, E, Olivares Roza, Jimena, Flewitt, A. J., J.K. Luo, Flewitt, AJ, Luo, J. K., Luo, JK, Ashley, G.M., M. Clement, ,, J.R. Lu, Clement, M, Zhao, X. B., Flewitt, A.J., Clement Lorenzo, Marta, Ashley, GM, Zhao, XB, Olivares, J., Ashley, G. M., L. García-Gancedo, García-Gancedo, L, Zhao, X.B., Z. Zhu, Clement, M., Iborra Grau, Enrique, Lu, J. R.; id_orcid   +46 more
core   +1 more source

An acoustic multi-touch sensing method using amplitude disturbed ultrasonic wave diffraction patterns [PDF]

, 2010
This paper proposes an acoustic multi-touch tactile sensing method. The proposed method is based on an amplitude disturbed ultrasonic wave diffraction pattern.
NIKOLOVSKI, Jean-Pierre, Hafez, M, VERGÉ, Michel, HAFEZ, Moustapha, MECHBAL, Nazih, LIU, Yuan   +5 more
core   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced 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, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

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

Advanced 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, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Tailoring Phonon‐Driven Responses in α‐MoO3 through Isotopic Enrichment

Advanced Materials, EarlyView.
ABSTRACT The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material, α‐MoO3, an orthorhombic crystal boasting three distinct phonon dispersions, provides three polaritonic dispersions of hyperbolic phonon polaritons (HPhPs) across the ...
Thiago S. Arnaud, Ryan W. Spangler, Johnathan D. Georgaras, Jonah B. Haber, Daniel Hirt, Maximilian Obst, Gonzalo Álvarez‐Pérez, Mackey Long III, Felix G. Kaps, Jakob Wetzel, Courtney Ragle, John E. Buchner, Youngji Kim, Aditha S. Senarath, Richarda Niemann, Mingze He, Giulia Carini, Unai Arregui‐Leon, Akash C. Behera, Ramachandra Bangari, Nihar Sahoo, Niels C. Brumby, J. Michael Klopf, Martin Wolf, Lukas M. Eng, Susanne C. Kehr, Thomas G. Folland, Alexander Paarmann, Patrick E. Hopkins, Felipe Jornada, Jon‐Paul Maria, Joshua D. Caldwell   +31 more
wiley   +1 more source

Plasmonic lattice excitation of surface acoustic waves in silicon photonic circuits

APL Photonics
Surface acoustic waves enable long group delays and narrowband analog filtering on-chip, which are difficult to obtain with fast-moving electromagnetic waves.
Leroy Dokhanian, Saawan Kumar Bag, Mirit Hen, Inbar Shafir, Matan Slook, Shai Ben-Ami, Avi Zadok   +6 more
doaj   +1 more source

Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

Advanced Materials Technologies, EarlyView.
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim   +8 more
wiley   +1 more source

Surface Acoustic Wave Devices in Electronic WarFare

, 2014
In this paper the applications of acoustic surface wave device technology to electronic warfare systems have been reviewed. A variety of signal processing tasks such as simple time delay, frequency dependent time delay, programmable and discretely ...
Singh, A., Joshi, N.K
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source