Results 211 to 220 of about 610,465 (350)

Engineering Gap‐Enhanced Raman Tags for High‐Performance Security Inks: A Focus on Raman Tag Density and Stability

open access: yesAdvanced Materials Interfaces, EarlyView.
Gap‐enhanced Raman tags (GERTs) with optimized tag density and stability are engineered for use in high‐performance security inks. The inks enable invisible molecular‐level encoding, long‐term signal retention, and high sensitivity. This work demonstrates a robust, scalable platform for anti‐counterfeiting and authentication with potential integration ...
Boonphop Chaisrikhwun   +4 more
wiley   +1 more source

Using a Zero‐Strain Reference Electrode to Distinguish Anode and Cathode Volume Changes in a Solid‐State Battery

open access: yesAdvanced Materials Interfaces, EarlyView.
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans   +5 more
wiley   +1 more source

Ultrasonic Spray Pyrolysis of Functional Zn─Sn─O Matrix Semiconductors: Stoichiometric Design for Enhanced Acetone Selectivity in VOC Sensing

open access: yesAdvanced Materials Interfaces, EarlyView.
Zn–Sn–O thin films synthesized via ultrasonic spray pyrolysis reveal tunable phase evolution and enhanced acetone selectivity. Integrating DFT insights with machine learning predictions uncovers the role of stoichiometric control and oxygen vacancies in VOC sensing.
Kevin Rueda‐Castellanos   +6 more
wiley   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy