Results 41 to 50 of about 12,181 (273)
A dynamically actuated reconfigurable topographical surface (DARTS) integrates contact‐mediated bactericidal nanotopography with programmable mechanical actuation to actively disrupt bacterial biofilms. Dynamic surface reconfiguration enhances bacterial killing and suppresses implant‐associated infections in vivo, providing a new strategy for active ...
Mohammad Asadi Tokmedash +4 more
wiley +1 more source
Conducting polymers offer attractive mixed ionic-electronic conductivity, tunable interfacial barrier with metal, tissue matchable softness, and versatile chemical functionalization, making them robust to bridge the gap between brain tissue and ...
Sihao Qian +8 more
doaj +1 more source
Defect-tolerant N2-transistor structure for reliable nanoelectronic designs
Nanodevices based circuit design will be based on the acceptance that a high percentage of devices in the design will be defective. In this work, we investigate a defect tolerant technique that adds redundancy at the transistor level and provides built ...
El-Maleh, A.H. +7 more
core +1 more source
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li +7 more
wiley +1 more source
Neuromorphic computing systems, inspired by the brain's parallel processing capabilities and efficiency, offer promising solutions for artificial intelligence.
Yanming Liu +10 more
doaj +1 more source
A Memtransistor-Memristor-Based Chaotic Circuit with Attractors Coexistence
Memtransistors, as multi-terminal devices with gate-tunable memristive behavior, offer new opportunities for nonlinear circuit design beyond conventional two-terminal memristors.
Birong Xu, Ximei Ye
doaj +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Adjustable Leaky-Integrate-and-fire neurons based on memristor-coupled capacitors
To address the von Neumann bottleneck, artificial neural networks (ANNs) are aroused to construct neuromorphic computing systems. The artificial neuron is one of the essential components that collect the weight updating information of artificial synapses.
T. Guo +6 more
doaj +1 more source
Dirac‐Source Linear X‐Ray Detection Diode
Monolayer graphene imparts near linear current‐voltage behavior to a perovskite X‐ray detection diode, contrasting with conventional diode‐like responses. Exploiting graphene's Dirac dispersion and a Schottky‐like back‐to‐back junction, the device achieves six‐orders‐of‐magnitude dark current suppression while retaining linearity over 200 V, enabling ...
Babar Shabbir +8 more
wiley +1 more source
Photonic crystal (PC) devices in the InP/InGaAsP/InP planar waveguide system exhibiting narrow bandwidth features were investigated for use as ultrasmall and tunable building blocks for photonic integrated circuits at the telecom wavelength of 1.55 μm.
Kicken, H H J E +8 more
core +1 more source

