Results 61 to 70 of about 5,102 (147)
A fully complementary metal–oxide–semiconductor process‐compatible novel 3‐T embedded NOR flash is demonstrated on a 28 nm fully depleted silicon‐on‐insulator platform. The proposed memory achieves record‐fast 28‐long‐term potentiation and depression , offering high‐speed and highly reliable synaptic behavior for online training in neuromorphic ...
Jae Seung Woo +4 more
wiley +1 more source
Investigating 3D NAND Flash Read Disturb Reliability With Extreme Value Analysis
The storage systems relying on the 3D NAND Flash technology require an extensive modeling of their reliability in different working corners. This enables the deployment of system-level management routines that do not compromise the overall performance and reliability of the system itself.
Zambelli C. +3 more
openaire +1 more source
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
When designing 3D V-NAND technologies with a gate induced drain leakage (GIDL) assisted erase scheme, many experiments must be conducted to determine the optimal GIDL design targets to achieve fast erase performance and secure yield characteristics ...
Yohan Kim, Soyoung Kim
doaj +1 more source
NAND Flash Memory Characterization [PDF]
The NAND technology has become a popular research area and implementation choice due to its non-volatile flash memory characteristics. There are many engineering challenges when it comes to NAND technology.
Heer, Tanvir Singh
core
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim +4 more
wiley +1 more source
Duality between erasures and defects
We investigate the duality of the binary erasure channel (BEC) and the binary defect channel (BDC). This duality holds for channel capacities, capacity achieving schemes, minimum distances, and upper bounds on the probability of failure to retrieve the ...
Kim, Yongjune, Kumar, B. V. K. Vijaya
core +1 more source
Keggin‐type Al‐POM‐coated silica achieves selective surface oxidation of amorphous carbon through electrostatic attraction and proton‐coupled oxidation, tailoring interfacial properties for lithium‐ion batteries and semiconductor processes. ABSTRACT Amorphous carbon is widely used in energy storage and semiconductor technologies, where surface ...
Ganggyu Lee +13 more
wiley +1 more source
Vertical Self‐Rectifying Memristive Arrays for Page‐Wise Parallel Logic and Arithmetic Processing
This study proposes a page‐wise logic‐in‐memory architecture realized in a 3D vertical resistvie random‐access memory array of self‐rectifying memristors. By introducing intra‐ and inter‐page logic primitives, the system enables Boolean and arithmetic operations to be executed directly within the memory.
Kunhee Son +12 more
wiley +1 more source

