Results 221 to 230 of about 236,785 (305)
A capacitive-piezoelectric hybrid MEMS microphone with signal fusion for enhancing signal-to-noise ratio. [PDF]
Guan Y +10 more
europepmc +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
Pharmaceutical adsorption and ex-situ electro-regeneration performance of magnetically modified activated carbon. [PDF]
Ahmed F +4 more
europepmc +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Electro-manipulating of negative-charged aramid nanofibers towards micro-to-macro scale colloidal aerogel films. [PDF]
Li L, Yin R, Sheng Z, Zhang X.
europepmc +1 more source
Impedance‐Matched High‐Overtone Thickness‐Shear Bulk Acoustic Resonators With Scalable Mode Volume
A bottom‐electrode‐free high‐overtone bulk acoustic resonator is achieved by lateral excitation of antisymmetric thickness‐shear modes on a lithium‐niobate‐on‐silicon platform. Planar electrode geometry eliminates conventional loading along the resonance path and confines acoustic energy within the electrode gap.
Zi‐Dong Zhang +7 more
wiley +1 more source
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
Reduced multiplicity of crystallographic sites for superior thermoelectric performance of cubic Cu<sub>6</sub>GeTeS<sub>4</sub> via chemical tailoring. [PDF]
Yang Y +10 more
europepmc +1 more source
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source

