Results 141 to 150 of about 1,146,309 (300)

Hybrid Magnetoactive Soft Elastomers: Material Development Toward Application in Diaphragm Pumps

Advanced Materials Technologies, EarlyView.
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, Paweł Orkisz, Bogdan Sapiński, Ralph Spolenak, Frank Clemens   +4 more
wiley   +1 more source

Pattern Formation in Non‐Equilibrium Architected Materials

Advanced Materials Technologies, EarlyView.
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

Multiscale Acoustic Bubble Actuators Using Bioinspired Liquid‐Repellent Microstructures

Advanced Materials Technologies, EarlyView.
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, Nima Mahkam, Nihal Olcay Dogan, Ville Liimatainen, Defne Hiz, Aleyna Ilgezdi, Daniel Razansky, Amirreza Aghakhani, Metin Sitti   +8 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
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, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +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

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
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, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 more
wiley   +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

Assessment of the Learning Processes of Otorhinolaryngology Residents in Performing Rhinomanometry and Acoustic Rhinometry. [PDF]

Turk Arch Otorhinolaryngol
Arabacı A, Mengi E, Kara CO.
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Low-Frequency Sound Absorption Mechanism and Bidirectional Prediction of a Viscoelastic Rubber-Based Underwater Acoustic Coating Using Multimodal Deep Ensemble Learning. [PDF]

Polymers (Basel)
Zhang Z, Ye R, Liu N, Zhu G.
europepmc   +1 more source