Results 121 to 130 of about 2,625,092 (314)

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Untethered Magnetic Microswimmers for Targeted Particle Transport and Flow Manipulation

open access: yesAdvanced Materials Technologies, EarlyView.
This work introduces magnetically actuated microswimmers to dynamically reconfigure fluid flow within a single microfluidic device. Multiple homogeneous microswimmers are independently controlled by an external magnetic field to perform translational and rotational motions, thereby inducing real‐time flow manipulation.
Dineshkumar Loganathan   +3 more
wiley   +1 more source

Pattern Formation in Non‐Equilibrium Architected Materials

open access: yesAdvanced 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

Ductility Tuning via Cluster Network Characteristics of Porous Components

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

PENGARUH IKLIM DALAM PERANCANGAN ARSITEKTUR

open access: yesNalars, 2009
Abstrak. Bangunan sebagai hasil perancangan arsitektur dimaksudkan untuk memberikan kenyamanan dan mendukung aktifitas manusia yang berada di dalam bangunan.
Irfandi Irfandi
doaj  

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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