Výsledky vyhledávání - "Fariborzi, Hossein"

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Magnetic Field Gated and Current Controlled Spintronic Mem-transistor Neuron -based Spiking Neural Networks

Autor: Lone, Aijaz H., Tang, Meng, Rahimi, Daniel N., Zou, Xuecui, Zheng, Dongxing, Fariborzi, Hossein, Zhang, Xixiang, Setti, Gianluca

Spintronic devices, such as the domain walls and skyrmions, have shown significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures. In recent years, spiking neural networks have shown more bio-plaus

Externí odkaz: http://arxiv.org/abs/2402.03767

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Multilayer Ferromagnetic Spintronic Devices for Neuromorphic Computing Applications

Autor: Lone, Aijaz H., Zou, Xuecui, Mishra, Kishan K., Singaravelu, Venkatesh, Fariborzi, Hossein, Setti, Gianluca

Spintronics has gone through substantial progress due to its applications in energy-efficient memory, logic and unconventional computing paradigms. Multilayer ferromagnetic thin films are extensively studied for understanding the domain wall and skyr

Externí odkaz: http://arxiv.org/abs/2309.00476

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Magnetic Skyrmion: From Fundamental Physics to Pioneering Applications

Autor: Mishra, Kishan K., Lone, Aijaz H., Srinivasan, Srikant, Fariborzi, Hossein, Setti, Gianluca

Skyrmionic devices exhibit energy-efficient and high-integration data storage and computing capabilities due to their small size, topological protection, and low drive current requirements. So, to realize these devices, an extensive study, from funda

Externí odkaz: http://arxiv.org/abs/2308.11811

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Anomalous and Topological Hall Resistivity in Ta/CoFeB/MgO Magnetic Systems for Neuromorphic Computing Applications

Autor: Lone, Aijaz H., Zou, Xuecui, Das, Debasis, Fong, Xuanyao, Setti, Gianluca, Fariborzi, Hossein

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 driving current. The evaluation of the writing and reading of the sky

Externí odkaz: http://arxiv.org/abs/2304.07742

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Voltage Gated Domain Wall Magnetic Tunnel Junction-based Spiking Convolutional Neural Network

Autor: Lone, Aijaz H, Li, Hanrui, El-Atab, Nazek, Li, Xiaohang, Fariborzi, Hossein

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 utilizing the voltage-controlled gating effect on the DWM, the access transis

Externí odkaz: http://arxiv.org/abs/2212.09444

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