26 citations · 32 across the 9 of their papers we have counts for
9 papers
Field Free Spin-Orbit Torque Controlled Synapse and Stochastic Neuron Devices for Spintronic Boltzmann Neural Networks
Aijaz H. Lone, Meng Tang, Camelia Florica +4
Spintronics offers a promising approach to energy efficient neuromorphic computing by integrating the functionalities of synapses and neurons within a single platform. A major chal…
Magnetic Field Gated and Current Controlled Spintronic Mem-transistor Neuron -based Spiking Neural Networks
Aijaz H. Lone, Meng Tang, Daniel N. Rahimi +5
Spintronic devices, such as the domain walls and skyrmions, have shown significant potential for applications in energy-efficient data storage and beyond CMOS computing architectur…
Magnetic Skyrmion: From Fundamental Physics to Pioneering Applications
Kishan K. Mishra, Aijaz H. Lone, Srikant Srinivasan +2
Skyrmionic devices exhibit energy-efficient and high-integration data storage and computing capabilities due to their small size, topological protection, and low drive current requ…
Multilayer Ferromagnetic Spintronic Devices for Neuromorphic Computing Applications
Aijaz H. Lone, Xuecui Zou, Kishan K. Mishra +3
Spintronics has gone through substantial progress due to its applications in energy-efficient memory, logic and unconventional computing paradigms. Multilayer ferromagnetic thin fi…
Anomalous and Topological Hall Resistivity in Ta/CoFeB/MgO Magnetic Systems for Neuromorphic Computing Applications
Aijaz H. Lone, Xuecui Zou, Debasis Das +3
Topologically protected spin textures, such as magnetic skyrmions, have the potential for dense data storage as well as energy-efficient computing due to their small size and a low…
Controlling the Skyrmion Density and Size for Quantized Convolutional Neural Networks
Aijaz H. Lone, Arnab Ganguly, Hanrui Li +3
Skyrmion devices show energy efficient and high integration data storage and computing capabilities. Herein, we present the results of experimental and micromagnetic investigations…
Voltage Gated Domain Wall Magnetic Tunnel Junction-based Spiking Convolutional Neural Network
Aijaz H Lone, Hanrui Li, Nazek El-Atab +2
We propose a novel spin-orbit torque (SOT) driven and voltage-gated domain wall motion (DWM)-based MTJ device and its application in neuromorphic computing. We show that by utilizi…
Skyrmion-Magnetic Tunnel Junction Synapse with Mixed Synaptic Plasticity for Neuromorphic Computing
Aijaz H. Lone, Arnab Ganguly, Selma Amara +2
Magnetic skyrmion-based data storage and unconventional computing devices have gained increasing attention due to their topological protection, small size, and low driving current.…
Skyrmion-based Leaky Integrate and Fire Neurons for Neuromorphic Applications
Aijaz H. Lone, Selma Amara, Fernando Aguirre +2
Spintronics is an important emerging technology for data storage and computation. In this field, magnetic skyrmion-based devices are attractive due to their small size and energy c…