Results 101 to 110 of about 59,478 (265)
Phonon Engineering in Ultrathin Sn Films
When embedded in multilayer structures, ultrathin Sn layers demonstrate strongly modified vibrational density of states (VDOS). This allows engineering a drastic increase of the Lamb‐Mössbauer factor fLM$f_{\text{LM}}$ and thereby of the cross‐section for coherent excitation of the ultrasharp nuclear resonance of 119Sn$^{119}{\rm Sn}$. This enables the
Sven Velten +9 more
wiley +1 more source
Hybrid Magnetoactive Soft Elastomers: Material Development Toward Application in Diaphragm Pumps
Hybrid magnetoactive soft elastomeric membranes are developed by combining two different types of magnetic particles. The membranes exhibit distinct mechanical, magnetic and thermal properties owing to the unique characteristics of the two magnetic particles.
Somashree Mondal +4 more
wiley +1 more source
Spectral Mapping Using Kernel Principal Components Regression for Voice Conversion
The Gaussian mixture model (GMM) method is popular and efficient for voice conversion (VC), but it is often subject to overfitting. In this paper, the principal component regression (PCR) method is adopted for the spectral mapping between source speech ...
Peng SONG, Li ZHAO, Yongqiang BAO
doaj
Pattern Formation in Non‐Equilibrium Architected Materials
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley +1 more source
Voice Conversion Based on Hybrid SVR and GMM
A novel VC (voice conversion) method based on hybrid SVR (support vector regression) and GMM (Gaussian mixture model) is presented in the paper, the mapping abilities of SVR and GMM are exploited to map the spectral features of the source speaker to ...
Peng SONG, Yun JIN, Li ZHAO, Cairong ZOU
doaj
Multiscale Acoustic Bubble Actuators Using Bioinspired Liquid‐Repellent Microstructures
The article presents multiscale acoustic bubble actuators using bioinspired liquid‐repellent microstructures, enabling programmable trapping, pumping, mixing, and precise flow control. Mimicking springtail microstructures, these scalable actuators (200 µm–1 mm) offer multifunctionality in all‐in‐one devices, letter‐shaped arrays, and 3D cube ...
Cem Balda Dayan +8 more
wiley +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
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 +8 more
wiley +1 more source
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato +4 more
wiley +1 more source
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 +4 more
wiley +1 more source

