نتایج جستجو برای: nanoelectronic circuits
تعداد نتایج: 62444 فیلتر نتایج به سال:
Information security has emerged as an important system and application metric. Classical security solutions use algorithmic mechanisms that address a small subset of emerging security requirements, often at high energy and performance overhead. Further, emerging side channel and physical attacks can compromise classical security solutions. Hardware based security solutions overcome many of the...
Abstract Background and Objectives: Today, it is expected that by using molecular nanoelectronic, the symptoms emitted from neurons will be studied. Many studies show that abnormalities in the normal functioning of brain cells can lead to neurological attacks. One of the most common brain system defects is epileptic seizures. In this case, due to the electrical discharge of a group of neurons,...
Carotenoids are natural pigments responsible for coloring in flowers and seeds. The semiconducting nature of carotenoids makes them a suitable candidate solar harvesting biodegradable nanoelectronic devices.
Nearly all existing nanoelectronic sensors are based on charge detection, where molecular binding changes the charge density of the sensor and leads to sensing signal. However, intrinsically slow dynamics of interface-trapped charges and defect-mediated charge-transfer processes significantly limit those sensors' response to tens to hundreds of seconds, which has long been known as a bottleneck...
Biosensor response time, which depends sensitively on the transport of biomolecules to the sensor surface, is a critical concern for future biosensor applications. We have fabricated carbon nanotube field-effect transistor biosensors and quantified protein binding rates onto these nanoelectronic sensors. Using this experimental platform we test the effectiveness of a protein repellent coating d...
Stochastic Spiking Neural Networks based on nanoelectronic spin devices can be a possible pathway at achieving “brain-like” compact and energy-efficient cognitive intelligence. The computational model attempt to exploit the intrinsic device stochasticity of nanoelectronic synaptic or neural components to perform learning or inference. However, there has been limited analysis on the scaling effe...
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