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Aijaz H. Lone
Aijaz H. Lone
PhD student, CEMSE KAUST
Verified email at kaust.edu.sa - Homepage
Title
Cited by
Cited by
Year
Skyrmion-magnetic tunnel junction synapse with long-term and short-term plasticity for neuromorphic computing
AH Lone, H Fariborzi
IEEE Transactions on Electron Devices 70 (1), 371-378, 2022
152022
Voltage-controlled domain wall motion-based neuron and stochastic magnetic tunnel junction synapse for neuromorphic computing applications
AH Lone, S Amara, H Fariborzi
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 8 …, 2021
142021
Low-Current-Density Magnetic Tunnel Junctions for STT-RAM Application Using MgO N ) Tunnel Barrier
MG Moinuddin, AH Lone, S Shringi, S Srinivasan, SK Sharma
IEEE Transactions on Electron Devices 67 (1), 125-132, 2019
132019
Cross-sectional area dependence of tunnel magnetoresistance, thermal stability, and critical current density in MTJ
AH Lone, S Shringi, K Mishra, S Srinivasan
IEEE Transactions on Magnetics 57 (2), 1-10, 2020
112020
Magnetic tunnel junction based implementation of spike time dependent plasticity learning for pattern recognition
AH Lone, S Amara, H Fariborzi
Neuromorphic Computing and Engineering 2 (2), 024003, 2022
102022
Realization of Large Area Co20Fe60B20-Based Perpendicular Magnetic Tunnel Junction for CMOS Compatible Device Application
MG Moinuddin, AH Lone, S Srinivasan, SK Sharma
ACS Applied Electronic Materials 1 (11), 2268-2278, 2019
82019
Spin orbit torque tunable skyrmion neuromorphic devices
AH Lone, X Zou, GIM Garcia, X Li, H Fariborzi
2022 IEEE International Conference on Emerging Electronics (ICEE), 1-5, 2022
22022
Skyrmion-based Leaky Integrate and Fire Neurons for Neuromorphic Applications
AH Lone, S Amara, F Aguirre, M Lanza, H Fariborzi
arXiv preprint arXiv:2205.14913, 2022
22022
Voltage-Gated Domain Wall Magnetic Tunnel Junction for Neuromorphic Computing Applications
AH Lone, H Li, N El-Atab, G Setti, H Fariborzi
IEEE Transactions on Electron Devices, 2023
12023
Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN
H Li, AH Lone, F Tian, J Yang, M Sawan, N El-Atab
2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023
12023
Anomalous and Topological Hall Resistivity in Ta/CoFeB/MgO Magnetic Systems for Neuromorphic Computing Applications
AH Lone, X Zou, D Das, X Fong, G Setti, H Fariborzi
arXiv preprint arXiv:2304.07742, 2023
12023
Controlling the skyrmion density and size for quantized convolutional neural networks
AH Lone, A Ganguly, H Li, NE Atab, G Das, H Fariborzi
arXiv preprint arXiv:2302.01390, 2023
12023
Voltage gated domain wall magnetic tunnel junction-based spiking convolutional neural network
AH Lone, H Li, N El-Atab, X Li, H Fariborzi
arXiv preprint arXiv:2212.09444, 2022
12022
Anomalous hall and skyrmion topological hall resistivity in magnetic heterostructures for the neuromorphic computing applications
AH Lone, X Zou, D Das, X Fong, G Setti, H Fariborzi
npj Spintronics 2 (1), 3, 2024
2024
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
AH Lone, M Tang, DN Rahimi, Z Xuecui, D Zheng, H Fariborzi, X Zhang, ...
Research Square Platform LLC, 2024
2024
Magnetic Soliton MTJ Devices for Neuromorphic Computing Applications
AH Lone, DN Rahimi, H Fariborzi, G Setti
2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 1-3, 2024
2024
Magnetic Field Gated and Current Controlled Spintronic Mem-transistor Neuron-based Spiking Neural Networks
AH Lone, M Tang, DN Rahimi, X Zou, D Zheng, H Fariborzi, X Zhang, ...
arXiv preprint arXiv:2402.03767, 2024
2024
Creation and Annihilation of Magnetic Skyrmions for Neuromorphic Computing Applications
A Lone, A Ganguly, D Divyanshu, S Amara, G Das, H Fariborzi
Authorea Preprints, 2023
2023
Multilayer Ferromagnetic Spintronic Devices for Neuromorphic Computing Applications
AH Lone, X Zou, KK Mishra, V Singaravelu, H Fariborzi, G Setti
arXiv preprint arXiv:2309.00476, 2023
2023
Magnetic Skyrmion: From Fundamental Physics to Pioneering Applications
KK Mishra, AH Lone, S Srinivasan, H Fariborzi, G Setti
arXiv preprint arXiv:2308.11811, 2023
2023
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