Results 231 to 240 of about 80,738 (306)

Multilayered Digital Microfluidic Chip for Cell‐Based Assays

open access: yesAdvanced Materials Interfaces, EarlyView.
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden   +2 more
wiley   +1 more source

Ti3C2Tx MXene/Silver Composite Foams For Lightweight, High‐Performance Electromagnetic Interference Shielding and Joule Heating

open access: yesAdvanced Materials Interfaces, EarlyView.
Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood   +7 more
wiley   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

open access: yesAdvanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Shadow‐Free Back‐Contact Perovskite Thin‐Film Detectors for Direct Extreme‐Ultraviolet and Soft X‐Ray Sensing

open access: yesAdvanced Materials Interfaces, EarlyView.
A triple‐cation perovskite detector with a quasi‐interdigitated back‐contact architecture enables highly sensitive and linear EUV/soft x‐ray detection by minimizing electrode shadowing and enhancing charge extraction. Efficient interfacial carrier collection and rapid temporal response highlight the potential of back‐contact‐engineered perovskites for ...
Jingying Liu   +5 more
wiley   +1 more source

An Ultra‐Reliable and Highly Sensitive Flexible Piezoelectric Pressure Sensor Based on Vertically Aligned Gallium Nitride Microrod Arrays on Graphene

open access: yesAdvanced Materials Interfaces, EarlyView.
A flexible and highly reliable piezoelectric pressure sensor based on GaN p–n homojunction microrod arrays on graphene is demonstrated. The sensor exhibits high sensitivity, rapid response, excellent cyclic durability, and stable performance after thermal aging and PBS immersion, highlighting its potential for harsh‐environment and biomedical pressure ...
Asad Ali   +5 more
wiley   +1 more source

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

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

open access: yesAdvanced 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   +8 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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