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We present a simple and fast method to simulate spin-torque driven magnetisation dynamics in nano-pillar spin-valve structures. The approach is based on the coupling between a spin transport code based on random matrix theory and a…

Mesoscale and Nanoscale Physics · Physics 2017-09-27 Simone Borlenghi , M. R. Mahani , Hans Fangohr , Matteo Franchin , Anna Delin , Jonas Fransson

Probabilistic computers offer promising solutions for computationally hard problems in domains such as combinatorial optimization and machine learning. A key building block in these systems is the probabilistic bit (p-bit), which relies on…

Emerging Technologies · Computer Science 2026-04-17 Ju-Young Yoon , Nuno Cacoilo , Advait Madhavan , Jabez J. McClelland , Shun Kanai , Hideo Ohno , Shunsuke Fukami , William A. Borders

Flexible magnetic materials with robust and controllable perpendicular magnetic anisotropy (PMA) are highly desirable for developing flexible high-performance spintronic devices. However, it is still challenge to fabricate PMA films through…

Spin currents of perpendicularly polarized spins (z spins) by an in-plane charge current have received blooming interest for the potential in energy-efficient spin-orbit torque switching of perpendicular magnetization in the absence of a…

Materials Science · Physics 2024-08-28 Qianbiao Liu , Xin Lin , Ariel Shaked , Zhuyang Nie , Guoqiang Yu , Lijun Zhu

Spin current and spin torque generation through the spin-orbit interactions in solids, of bulk or interfacial origin, is at the heart of spintronics research. The realization of spin-orbit torque (SOT) driven magnetic dynamics and switching…

Mesoscale and Nanoscale Physics · Physics 2021-03-22 Minh-Hai Nguyen , Chi-Feng Pai

Current-induced spin-orbit torque (SOT) has emerged as a promising method for achieving energy-efficient magnetization switching in advanced spintronic devices. However, technological advancement has been inadequate because an external…

Mesoscale and Nanoscale Physics · Physics 2025-01-23 Badsha Sekh , Hasibur Rahaman , Ramu Maddu , Pinkesh Kumar Mishra , Tianli Jin , S. N. Piramanayagam

Magnetization reversal of a perpendicular ferromagnetic free layer by spin-orbit torque (SOT) is an attractive alternative to spin-transfer torque (STT) switching in magnetic random-access memory (MRAM) where the write process involves…

Mesoscale and Nanoscale Physics · Physics 2015-11-19 Yong-Chang Lau , Davide Betto , Karsten Rode , JMD Coey , Plamen Stamenov

Spintronic devices, such as non-volatile magnetic random access memories and logic devices, have attracted considerable attention as potential candidates for future high efficient data storage and computing technology. In a heavy metal or…

Materials Science · Physics 2018-08-01 Yi Wang , Rajagopalan Ramaswamy , Hyunsoo Yang

We have investigated Surface Acoustic Wave (SAW) induced ferromagnetic resonance (FMR) assisted Spin Transfer Torque (STT) switching of perpendicular MTJ (p-MTJ) with inhomogeneities using micromagnetic simulations that include the effect…

Mesoscale and Nanoscale Physics · Physics 2020-09-22 Walid Al Misba , Md. Mahadi Rajib , Dhritiman Bhattacharya , Jayasimha Atulasimha

Spintronic artificial neurons are intriguing building blocks for energy efficient Neuromorphic Computing (NC). Nevertheless, most contemporary implementations rely on symmetry breaking external in plane magnetic fields (H_X) for neuron…

Spintronic devices have been widely studied for the hardware realization of artificial neurons. The stochastic switching of magnetic tunnel junction driven by the spin torque is commonly used to produce the sigmoid activation function.…

Emerging Technologies · Computer Science 2022-11-28 Yue Xin , Kang Zhou , Xuanyao Fong , Yumeng Yang , Shenghua Gao , Zhifeng Zhu

Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on such emerging neuromorphic architectures have either focused on solely mimicking…

Emerging Technologies · Computer Science 2016-11-15 Abhronil Sengupta , Yong Shim , Kaushik Roy

Spin-orbit torques, which utilize spin currents arising from the spin-orbit coupling, offer a novel method to electrically switch the magnetization with perpendicular anisotropy. However, the necessity of an external magnetic field to…

Materials Science · Physics 2018-07-18 Jong Min Lee , Kaiming Cai , Guang Yang , Yang Liu , Rajagopalan Ramaswamy , Pan He , Hyunsoo Yang

Current-induced spin-orbit torque (SOT) is regarded as a promising mechanism for driving neuromorphic behavior in spin-orbitronic devices. In principle, the strong SOT in heavy metal-based magnetic heterostructure is attributed to the…

Mesoscale and Nanoscale Physics · Physics 2022-05-31 Tian-Yue Chen , Yu-Chan Hsiao , Wei-Bang Liao , Chi-Feng Pai

Writing magnetic bits by spin-orbit torques (SOTs) arising from spin Hall effect creates new possibilities for ultrafast and low-power magnetoresistive random access memory (MRAM). For perpendicular MRAM, an extra in-plane field is required…

Applied Physics · Physics 2019-11-25 Yang Liu , Bing Zhou , Zhengkun Dai , Enbo Zhang , Jian-Gang Zhu

We propose a powerful extension to combined molecular and spin dynamics that fully captures the coupling between the atomic and spin subsystems via spin-orbit interactions. Its foundation is the inclusion of the local magnetic anisotropies…

Materials Science · Physics 2016-12-28 Dilina Perera , Markus Eisenbach , Don M. Nicholson , G. Malcolm Stocks , David P. Landau

At low temperature, information can be stored in the orientation of the localized magnetic moment of an adatom. However, scattering of electrons and phonons with the nanomagnet leads its state to have incoherent classical dynamics and might…

Mesoscale and Nanoscale Physics · Physics 2017-03-28 M. Marciani , C. Hübner , B. Baxevanis

We report a spin-orbit torque(SOT) magnetoresistive random-access memory(MRAM)-based probabilistic binary neural network(PBNN) for resource-saving and hardware noise-tolerant computing applications. With the presence of thermal fluctuation,…

Emerging Technologies · Computer Science 2024-03-29 Yu Gu , Puyang Huang , Tianhao Chen , Chenyi Fu , Aitian Chen , Shouzhong Peng , Xixiang Zhang , Xufeng Kou

Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states fluctuate randomly between two levels +1 and -1, with the…

Emerging Technologies · Computer Science 2024-04-03 Rahnuma Rahman , Samiran Ganguly , Supriyo Bandyopadhyay

We suggest coherent switching of canted antiferromagnetic (AFM) spins using spin-orbit torque (SOT) in small magnet. The magnetic system of orthoferrite features biaxial easy anisotropy and the Dzyaloshinskii Moriya interaction, which is…

Materials Science · Physics 2021-08-18 T. H. Kim , S. Hwang , S. Y. Hamh , S. H. Yoon , S. H. Han , B. K. Cho