Results 191 to 200 of about 95,824 (290)

From Design to Prototype: High‐Sensitivity Tri‐Mode Operation Photodetectors Based on 1T‐2H Hybrid MoS2

open access: yesAdvanced Science, EarlyView.
This work demonstrates a phase‐engineered MoS2 photodetector that dynamically switches among photocapacitive (PCC), photovoltaic (PV), and photoconductive (PC) modes. By transforming the traditionally parasitic capacitance into an active signal source, the device achieves self‐powered, high‐sensitivity detection with a fast response of 19.2 ms, and a ...
Xinyu Li   +16 more
wiley   +1 more source

Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption

open access: yesAdvanced Science, EarlyView.
Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang   +9 more
wiley   +1 more source

Cascade‐Responsive MXene@Cu‐MOF Heterostructure Integrates Antioxidant Activity, Infection Control, and Vascularization for Tracheal Repair

open access: yesAdvanced Science, EarlyView.
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo   +8 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

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