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In this work, we present a novel non-volatile spin transfer torque (STT) assisted spin-orbit torque (SOT) based ternary content addressable memory (TCAM) with 5 transistors and 2 magnetic tunnel junctions (MTJs). We perform a comprehensive…

Emerging Technologies · Computer Science 2024-09-27 Siri Narla , Piyush Kumar , Azad Naeemi

The discovery of spin torque transfer (STT) has lead to a significant advance in the development of spintronic devices. Novel structures and materials have been studied in order to improve the performance of the magnetic tunnel junctions…

Mesoscale and Nanoscale Physics · Physics 2009-08-24 Xiaofeng Yao , Yisong Zhang , Andrew Lyle , Roger Malmhall , Rajiv Ranjan , Lei Lu , Mingzhong Wu , Hao Wang , Ying Jing , Jian-Ping Wang

We report the possibility of achieving an order of magnitude reduction in the energy dissipation needed to write bits in perpendicular magnetic tunnel junctions (p-MTJs) by simulating the magnetization dynamics under a combination of…

Mesoscale and Nanoscale Physics · Physics 2019-10-02 Austin Roe , Dhritiman Bhattacharya , Jayasimha Atulasimha

We propose an analog implementation of the transcendental activation function leveraging two spin-orbit torque magnetoresistive random-access memory (SOT-MRAM) devices and a CMOS inverter. The proposed analog neuron circuit consumes 1.8-27x…

Emerging Technologies · Computer Science 2022-06-10 Md Hasibul Amin , Mohammed Elbtity , Mohammadreza Mohammadi , Ramtin Zand

Spin Orbit Torque-Magnetic Random Access Memory (SOT-MRAM) is being developed as a successor to the Spin transfer torque MRAM (STT-MRAM) owing to its superior performance on the metrics of reliability and read-write speed. SOT switching of…

Mesoscale and Nanoscale Physics · Physics 2025-10-31 Akanksha Chouhan , Heston A. Mendonca , Abhishek Erram , Ashwin A. Tulapurkar

This project explores the use of non-volatile synapses in neuromorphic computing for pattern recognition tasks through a comprehensive simulation-based approach. The main approach is through spintronic synapses, which leverage the…

Mesoscale and Nanoscale Physics · Physics 2025-01-08 Luis Sosa , Minhyeok Wi , Miguel Barrera , Imran Nasrullah , Yingying Wu

Probabilistic computing is a novel computing scheme that offers a more efficient approach than conventional CMOS-based logic in a variety of applications ranging from optimization to Bayesian inference, and invertible Boolean logic. The…

Mesoscale and Nanoscale Physics · Physics 2024-06-18 John Daniel , Zheng Sun , Xuejian Zhang , Yuanqiu Tan , Neil Dilley , Zhihong Chen , Joerg Appenzeller

Graphical probabilistic circuit models of stochastic computing are more powerful than the predominant deep learning models, but also have more demanding requirements. For example, they require "programmable stochasticity", e.g. generating…

Mesoscale and Nanoscale Physics · Physics 2023-01-24 M. T. McCray , Md Ahsanul Abeed , Supriyo Bandyopadhyay

Probabilistic computing using random number generators (RNGs) can leverage the inherent stochasticity of nanodevices for system-level benefits. The magnetic tunnel junction (MTJ) has been studied as an RNG due to its thermally-driven…

A new class of spin-transfer torque magnetic random access memory (STT-MRAM) is discussed, in which writing is achieved using thermally initiated magnonic current pulses as an alternative to conventional electric current pulses. The…

Materials Science · Physics 2015-05-28 Niladri N. Mojumder , David W. Abraham , Kaushik Roy , D. C. Worledge

We demonstrate single shot al optical switching (AOS) in rare earth free CoFeB/MgO magnetic tunnel junctions (MTJs), a material system widely adopted in spin transfer torque magnetic random access memory (STT MRAM). By tuning the capping…

Voltage-gate assisted spin-orbit torque (VGSOT) writing scheme combines the advantages from voltage control of magnetic anisotropy (VCMA) and spin-orbit torque (SOT) effects, enabling multiple benefits for magnetic random access memory…

Mesoscale and Nanoscale Physics · Physics 2021-06-11 Y. C. Wu , K. Garello , W. Kim , M. Gupta , M. Perumkunnil , V. Kateel , S. Couet , R. Carpenter , S. Rao , S. Van Beek , K. K. Vudya Sethu , F. Yasin , D. Crotti , G. S. Kar

We have fabricated nanoscale magnetic tunnel junctions (MTJs) with an additional fixed magnetic layer added above the magnetic free layer of a standard MTJ structure. This acts as a second source of spin-polarized electrons that, depending…

Artificial modulation of a neuronal subset through ion channels activation can initiate firing patterns of an entire neural circuit in vivo. As nanovalves in the cell membrane, voltage-gated ion channels can be artificially controlled by…

Applied Physics · Physics 2019-10-08 Kai Wu , Diqing Su , Renata Saha , Jian-Ping Wang

The tunnel magnetoresistance (TMR) in the magnetic tunnel junction (MTJ) with embedded nanoparticles (NPs) was calculated in range of the quantum-ballistic model. The simulation was performed for electron tunneling through the insulating…

Mesoscale and Nanoscale Physics · Physics 2016-03-25 Arthur Useinov , Lin-Xiu Ye , Niazbeck Useinov , Te-Ho Wu , Chih-Huang Lai

Neuromorphic computing (NC) architecture has shown its suitability for energy-efficient computation. Amongst several systems, spin-orbit torque (SOT) based domain wall (DW) devices are one of the most energy-efficient contenders for NC. To…

Mesoscale and Nanoscale Physics · Physics 2022-12-16 Durgesh Kumar , Ramu Maddu , Hong Jing Chung , Hasibur Rahaman , Tianli Jin , Sabpreet Bhatti , Sze Ter Lim , Rachid Sbiaa , S. N. Piramanayagam

The computing wall and data movement challenges of deep neural networks (DNNs) have exposed the limitations of conventional CMOS-based DNN accelerators. Furthermore, the deep structure and large model size will make DNNs prohibitive to…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Geng Yuan , Xiaolong Ma , Sheng Lin , Zhengang Li , Caiwen Ding

Stochastic magnetic tunnel junctions (s-MTJ) is a promising component of probabilistic bit (p-bit), which plays a pivotal role in probabilistic computers. For a standard cell structure of the p-bit, s-MTJ is desired to be insensitive to…

Mesoscale and Nanoscale Physics · Physics 2024-07-12 Rikuto Ota , Keito Kobayashi , Keisuke Hayakawa , Shun Kanai , Kerem Y. Çamsarı , Hideo Ohno , Shunsuke Fukami

We present a novel design of a strained topological insulator spin-orbit torque random access memory (STI-SOTRAM) bit cell comprising a piezoelectric/magnet (gating)/topological insulator (TI)/magnet (storage) heterostructure that leverages…

Mesoscale and Nanoscale Physics · Physics 2025-03-03 Md Golam Morshed , Hamed Vakili , Mohammad Nazmus Sakib , Samiran Ganguly , Mircea R. Stan , Avik W. Ghosh

This paper presents physical modeling and benchmarking for two-terminal spin-orbit torque magnetic random-access memory (2T-SOT-MRAM). The results indicate that the common SOT materials that provide only in-plane torque can provide little…

Mesoscale and Nanoscale Physics · Physics 2025-12-09 Md Nahid Haque Shazon , Piyush Kumar , Luqiao Liu , Daniel C. Ralph , Azad Naeemi