Results 191 to 200 of about 96,556 (286)
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao +5 more
wiley +1 more source
The hidden limit in light: intrinsic noise reshaping Brillouin metrology. [PDF]
Rossi L, Bolognini G.
europepmc +1 more source
Ionic Elastomer Interface for Low‐Pressure and Durable All‐Solid‐State Batteries
This work reports an ionically conductive elastomer that enables stable all‐solid‐state batteries(ASSBs)under low external pressure. The soft elastomeric matrix, integrated with a LiG3‐based conductive phase(lithium bis(trifluoromethanesulfonyl)imide and triethylene glycol dimethyl ether), simultaneously delivers high ionic conductivity and mechanical ...
Jiaxu Zhang +15 more
wiley +1 more source
Acoustic Impedance‐Tailored High‐Performance Ultrasound‐Driven Triboelectric Nanogenerators
An acoustic impedance–mismatched triboelectric nanogenerator is presented for efficient ultrasound energy harvesting in implantable medical devices. Concave and convex membrane patterning induces controlled acoustic impedance mismatch, which boosts output by ∼200% and ensures stable operation over 100 million cycles and six weeks in vivo, highlighting ...
Young‐Jun Kim +8 more
wiley +1 more source
Feasibility of co-registered ultrasound and acoustic-resolution photoacoustic imaging of human colorectal cancer [PDF]
Chapman, William +10 more
core +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Multiple reflection: A Route to enhanced sensitivity in beam-deflection optical ultrasound sensing. [PDF]
You Y, Niu P, Ma Y, Zhang P.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source

