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In this work, we propose LUT-Lock, a novel Look-Up-Table-based netlist obfuscation algorithm, for protecting the intellectual property that is mapped to an FPGA bitstream or an ASIC netlist. We, first, illustrate the effectiveness of…

Cryptography and Security · Computer Science 2018-05-11 Hadi Mardani Kamali , Kimia Zamiri Azar , Kris Gaj , Houman Homayoun , Avesta Sasan

We propose an electrically driven spin injector into normal metals and semiconductors, which is based on a magnetic tunnel junction (MTJ) subjected to a microwave voltage. Efficient functioning of such an injector is provided by…

Mesoscale and Nanoscale Physics · Physics 2020-09-16 A. I. Nikitchenko , N. A. Pertsev

Three-terminal magnetic tunnel junction (MTJ), where non-volatile magnetization state can be switched via spin orbit torque (SOT), is attracting massive research interests since it is featured by high speed, low power, nearly unlimited…

Applied Physics · Physics 2025-06-13 Hongjie Ye , Zhaohao Wang

We demonstrate that thermally stable perpendicular magnetic tunnel junctions (pMTJs), widely used in spin-transfer torque magnetic random-access memory, can be actuated with nanosecond pulses to exhibit tunable stochastic behavior. This…

Mesoscale and Nanoscale Physics · Physics 2026-01-15 Ahmed Sidi El Valli , Michael Tsao , Dairong Chen , Andrew D. Kent

Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable Resistive RAM or RRAM array serving as synaptic weights and neuronal…

Neural and Evolutionary Computing · Computer Science 2018-08-08 Aditya Shukla , Udayan Ganguly

In this article we present Mutable Locks, a synchronization construct with the same execution semantic of traditional locks (such as spin locks or sleep locks), but with a self-tuned optimized trade off between responsiveness---in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-02 Romolo Marotta , Davide Tiriticco , Pierangelo Di Sanzo , Alessandro Pellegrini , Bruno Ciciani , Francesco Quaglia

Present information and communication technologies are largely based on electronic devices, which suffer from heat generation and high power consumption. Alternatives like spintronics and magnonics, which harness the spin degree of freedom,…

We predict an unconventional spin-transfer torque (STT) acting on the magnetization of a free ferromagnetic (F) layer within N/TI/F vertical heterostructures which originates from strong spin-orbit coupling (SOC) on the surface of a…

Mesoscale and Nanoscale Physics · Physics 2012-10-18 Farzad Mahfouzi , Naoto Nagaosa , Branislav K. Nikolic

Spin-orbit torque (SOT) in the heavy elements with a large spin-orbit coupling (SOC) has been frequently used to manipulate the magnetic states in spintronic devices. Recent theoretical works have predicted that the surface oxidized light…

Materials Science · Physics 2024-05-13 Kun Zheng , Cuimei Cao , Yingying Lu , Jing Meng , Junpeng Pan , Zhenjie Zhao , Yang Xu , Tian Shang , Qingfeng Zhan

The engineering of electron spin qubits in a compact unit cell embedding all quantum functionalities is mandatory for large scale integration. In particular, the development of a high-fidelity and scalable spin readout method remains an…

As an emerging post-CMOS Field Effect Transistor, Magneto-Electric FETs (MEFETs) offer compelling design characteristics for logic and memory applications, such as high-speed switching, low power consumption, and non-volatility. In this…

Hardware Architecture · Computer Science 2023-12-11 Deniz Najafi , Mehrdad Morsali , Ranyang Zhou , Arman Roohi , Andrew Marshall , Durga Misra , Shaahin Angizi

We present a data-efficient framework for constructing general classical spin Hamiltonians by combining the spin-cluster expansion (SCE) with fully self-consistent noncollinear spin density functional theory (DFT). The key idea is to fit…

Materials Science · Physics 2026-05-26 Tomonori Tanaka , Yoshihiro Gohda

Nanomagnetic implementations of Boolean logic [1,2] have garnered attention because of their non-volatility and the potential for unprecedented energy-efficiency. Unfortunately, the large dissipative losses that take place when nanomagnets…

Mesoscale and Nanoscale Physics · Physics 2016-02-18 Noel D'Souza , Mohammad Salehi Fashami , Supriyo Bandyopadhyay , Jayasimha Atulasimha

Switching magnetization in a perpendicular magnetic tunnel junction (pMTJ) via voltage controlled magnetic anisotropy (VCMA) has shown the potential to markedly reduce the switching energy. However, the requirement of an external magnetic…

Mesoscale and Nanoscale Physics · Physics 2017-05-18 Jiefang Deng , Gengchiau Liang , Gaurav Gupta

We describe a spin logic device with controllable magnetization switching of perpendicularly magnetized ferromagnet / heavy metal structures on a ferroelectric (1-x)[Pb(Mg1/3Nb2/3)O3]-x[PbTiO3] (PMN-PT) substrate using current-induced…

Weight-only quantization has emerged as a promising solution to the deployment challenges of large language models (LLMs). However, it necessitates FP-INT operations, which make implementation on general-purpose hardware like GPUs…

Hardware Architecture · Computer Science 2025-03-11 Gunho Park , Hyeokjun Kwon , Jiwoo Kim , Jeongin Bae , Baeseong Park , Dongsoo Lee , Youngjoo Lee

We show that current induced magneto-logic gates like AND, OR and NOT can be designed with the simple architecture involving a single nano spin-valve pillar, as an extension of our recent work on spin-torque-driven magneto-logic universal…

Mesoscale and Nanoscale Physics · Physics 2014-01-06 C. Sanid , S. Murugesh

It has been demonstrated that the switching of perpendicular magnetization can be achieved with spin orbit torque (SOT) at an ultrafast speed and low energy consumption. However, to make the switching deterministic, an undesirable magnetic…

Applied Physics · Physics 2019-07-24 Zhaohao Wang , Zuwei Li , Min Wang , Bi Wu , Daoqian Zhu , Weisheng Zhao

Stochastic magnetic tunnel junctions (s-MTJs) are core components for spintronics-based probabilistic computing (p-computing), a promising candidate for energy-efficient unconventional computing. To achieve reliable performance under…

We present the design and numerical simulation of a spiking neuron capable of on-chip machine learning. Built within the CMOS+X framework, the spiking neuron consists of an NMOS transistor combined with a magnetic tunnel junction (MTJ).…