Bimodal alteration of cognitive accuracy for spintronic artificial neural networks

A Kumar, D Das, DJX Lin, L Huang, SLK Yap… - Nanoscale …, 2024 - pubs.rsc.org
Spintronics-based artificial neural networks (ANNs) exhibiting nonvolatile, fast, and energy-
efficient computing capabilities are promising neuromorphic hardware for performing …

SIMPLY+: A Reliable STT-MRAM Based Smart Material Implication Architecture For In-Memory Computing

T Moposita, E Garzón, R De Rose, F Crupi… - IEEE …, 2023 - ieeexplore.ieee.org
This paper introduces SIMPLY+, an advanced Spin-Transfer Torque Magnetic Random-
Access Memory (STT-MRAM)-based Logic-in-Memory (LIM) architecture that evolves from …

Influence of physical and material parameters on switching current density in perpendicular STT-MTJ: a micromagnetic study

A Shaw, VK Joshi - Journal of Physics Communications, 2024 - iopscience.iop.org
Switching in magnetic tunnel junctions (MTJs) is considered to be coherent according to the
macrospin model but above a critical characteristic length (R c) this process becomes …

Relaxing Sensing Margins in Double-Barrier Magnetic Tunnel Junction for Energy-Efficient Smart Material Implication (SIMPLY) Scheme Operating at 77K

T Moposita, E Holguín - 2024 IEEE Eighth Ecuador Technical …, 2024 - ieeexplore.ieee.org
This paper explores the impact on reliability and energy-efficiency in double-barrier
magnetic tunnel junctions (DMTJs)-based smart material implication (SIMPLY) scheme …

Low-complexity Dual Voltage Level Circuitry For Voltage-Divider-Based Content-Addressable Memory (CAM) Based On Two Supply Voltages

O Caisaluisa, E Holguín… - 2024 IEEE Eighth Ecuador …, 2024 - ieeexplore.ieee.org
Content addressable memories have raised great interest involving the realm of Big Data
and Artificial Intelligence, along with the emerging non-volatile (eNV) technology magnetic …

Exploiting TFET-based technology for energy-efficient STT-MRAM cells

SS Pérez, A Bedoya, LM Prócel… - International Journal of …, 2023 - content.iospress.com
Spin-transfer torque magnetic random-access memory (STT-MRAM) has been
demonstrated to be a leading candidate for on-chip memory technology. In this work, double …

Voltage-Divider-Based Binary and Ternary Content-Addressable Memory (CAM) Exploiting Double-Barrier Magnetic Tunnel Junction

A Bedoya, E Astudillo, R Taco… - 2023 IEEE Seventh …, 2023 - ieeexplore.ieee.org
The efficiency of massively parallel search operations, along with the non-volatile (NV)
capability of magnetic tunnel junction (MTJ), has raised significant interest for NV content …

Artificial Neural Network (ANN) design using Compute-in-Memory

T Moposita - 2023 - theses.hal.science
Nowadays, the era of” More than Moore” has arisen as a significant influence in light of the
limitations anticipated by Moore's law. The computing systems are exploring alternative …