Results 61 to 70 of about 12,245 (196)
Modeling and Design for Magnetoelectric Ternary Content Addressable Memory (TCAM)
This article proposes a novel magnetoelectric (ME) effect-based ternary content addressable memory (TCAM). The potential array-level write and search performances of the proposed ME-TCAM are studied using experimentally calibrated compact physical models
Siri Narla +6 more
doaj +1 more source
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda +7 more
wiley +1 more source
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu +9 more
wiley +1 more source
Design and analysis of single- ended robust low power 8T SRAM cell
This paper is based on the observation of 8T single ended static random access memory (SRAM) and two techniques for reducing the sub threshold leakage current, power consumption are examined.
Gupta Neha, Pahuja Hitesh
doaj +1 more source
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
wiley +1 more source
Leakage power reduction techniques of 45 nm static random access memory (SRAM) cells
As the technology scales down to 90 nm and below, static random access memory (SRAM) standby leakage power is becoming one of the most critical concerns for low power applications. In this article, we review three major leakage current components of SRAM cells and also discuss some of the leakage current reduction techniques including body biasing ...
openaire +1 more source
A magnetic tunnel junction (MTJ) with two free layers shows four magnetization reversal phases governed by interlayer magnetic coupling (Jcpl). Phase 2 (sequential reversal) reduces write current (Iw) by 50% for 30‐nm‐diameter MTJs compared to Phase 4 (coherent reversal), while Jcpl also boosts thermal stability.
Shujun Ye, Koichi Nishioka
wiley +1 more source
A Novel Approach to Design SRAM Cells for Low Leakage and Improved Stability
The semiconductor electronic industry is advancing at a very fast pace. The size of portable and handheld devices are shrinking day by day and the demand for longer battery backup is also increasing. With these requirements, the leakage power in stand-by
Tripti Tripathi +2 more
doaj +1 more source
Ultra-Low Power 5T-SRAM Cell Design using different CNTFET for exploiting Read/Write Assist Techniques [PDF]
In today's technological environment, designing the Static Random Access Memory (SRAM) is most vital and critical memory devices. In this manuscript, two kinds of 5TSRAM are designed using different CNTFET such as Dual-ChiralityGate all around (GAA ...
G. S. Kumar, G. Mamatha
doaj
A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee +5 more
wiley +1 more source

