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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

The subject of this study is spin transport through a molecular orbital connected to two leads, and coupled via exchange interaction with a precessing anisotropic molecular spin in a constant magnetic field. The inelastic spin-flip…

Mesoscale and Nanoscale Physics · Physics 2025-10-02 Milena Filipović

We unveil novel spin-orbit torque mechanisms driven by topological edge states in magnetic graphene-based devices. Within the energy gap, a damping-like torque plateau emerges within the quantum anomalous Hall phase upon breaking…

Mesoscale and Nanoscale Physics · Physics 2025-10-08 Joaquín Medina Dueñas , José H. García , Stephan Roche

We measure spin-orbit torque generated by exfoliated layers of the low-symmetry semi-metal ZrTe$_3$ using the spin-torque ferromagnetic resonance (ST-FMR) technique. When the ZrTe$_3$ has a thickness greater than about 10 nm, artifacts due…

Materials Science · Physics 2022-08-09 Thow Min Cham , Saba Karimeddiny , Vishakha Gupta , Joseph A. Mittelstaedt , Daniel C. Ralph

Type-x device attracts considerable interest in the field of spintronics due to its robust spin-orbit torque (SOT) induced magnetization switching, and easy deposition technique. However, universally applicable and straightforward detection…

Mesoscale and Nanoscale Physics · Physics 2023-04-20 Raghvendra Posti , Abhishek Kumar , Mayank Baghoria , Bhanu Prakash , Dhananjay Tiwari , Debangsu Roy

We studied the effect of inserting 0.5 nm-thick spacer layers (Ti, V, Cr, Mo, W) at the Pt/Co interface on the spin-orbit torques, Hall effect, magnetoresistance, saturation magnetization, and magnetic anisotropy. We find that the…

Mesoscale and Nanoscale Physics · Physics 2020-02-07 Can Onur Avci , Geoffrey S. D. Beach , Pietro Gambardella

We demonstrate a scalable new ferromagnetic resonance (FMR) technique based on the spin-orbit interaction. An alternating current drives FMR in uniform ferromagnetic structures patterned from the dilute magnetic semiconductors (Ga,Mn)As and…

Mesoscale and Nanoscale Physics · Physics 2015-05-20 D. Fang , H. Kurebayashi , J. Wunderlich , K. Vyborny , L. P. Zarbo , R. P. Campion , A. Casiraghi , B. L. Gallagher , T. Jungwirth , A. J. Ferguson

The thickness dependence of spin-orbit torque and magnetoresistance in ferromagnet/heavy-metal bilayers is studied using the first-principles non-equilibrium Green's function formalism combined with the Anderson disorder model. A systematic…

Mesoscale and Nanoscale Physics · Physics 2020-01-22 K. D. Belashchenko , Alexey A. Kovalev , M. van Schilfgaarde

The length scale of the magnetization gradients in chiral magnets is determined by the relativistic Dzyaloshinskii-Moriya interaction. Thus, even conventional spin-transfer torques are controlled by the relativistic spin-orbit coupling in…

Mesoscale and Nanoscale Physics · Physics 2014-03-05 Kjetil M. D. Hals , Arne Brataas

We present a simple technique using a cavity-based resonance spectrometer to quantify the anti-damping torque due to the spin Hall effect. Modification of ferromagnetic resonance is observed as a function of small DC current in sub-mm-wide…

An applied electric current through a space-inversion asymmetric magnet induces spin-orbit torques (SOTs) on the magnetic moments, which holds much promise for future memory devices. We discuss general Green's function expressions suitable…

Materials Science · Physics 2014-11-19 Frank Freimuth , Stefan Blügel , Yuriy Mokrousov

Precise magnetic field modeling is fundamental to the closed-loop control of electromagnetic navigation systems (eMNS) and the analytical Multipole Expansion Model (MPEM) is the current standard. However, the MPEM relies on strict physical…

Systems and Control · Electrical Eng. & Systems 2026-02-09 Antonio Bernardes , Jasan Zughaibi , Michael Muehlebach , Bradley J. Nelson

Deep learning (DL) strategies have recently been utilized to diagnose motor faults by simply analyzing motor phase current signals, offering a less costly and non-intrusive alternative to vibration sensors. This research transforms these…

Signal Processing · Electrical Eng. & Systems 2024-10-15 Eduardo Jr Piedad , Christian Ainsley Del Rosario , Eduardo Prieto-Araujo , Oriol Gomis-Bellmunt

One of the main obstacles that prevents practical applications of antiferromagnets is the difficulty of manipulating the magnetic order parameter. Recently, following the theoretical prediction [J. \v{Z}elezn\'y et al., PRL 113, 157201…

Magnetization dynamics in W/CoFeB, CoFeB/Pt and W/CoFeB/Pt multilayers was investigated using spin-orbit-torque ferromagnetic resonance (SOT-FMR) technique. An analytical model based on magnetization dynamics due to SOT was used to fit…

Measurement noise is an integral part while collecting data of a physical process. Thus, noise removal is a necessary step to draw conclusions from these data, and it often becomes quite essential to construct dynamical models using these…

Machine Learning · Computer Science 2021-09-24 Pawan Goyal , Peter Benner

We have reported on the hysteresis and training effect of spin current in Pt/Y3Fe5O12 heterostructures during subsequent cycles of ionic liquid gate voltage Vg. The inverse spin Hall effect voltage in spin pumping and spin Hall…

Materials Science · Physics 2023-02-21 Y. D. Sun , Lei Wang , Lili Lang , Ke Xia , S. M. Zhou

Spin-orbit torque manifested as an accumulated spin-polarized moment at nonmagnetic normal metal, and ferromagnet interfaces is a promising magnetization switching mechanism for spintronic devices. To fully exploit this in practice,…

Spin spirals form inside the magnetic layers of antiferromagnetic and noncollinearly-coupled magnetic multilayers in the presence of an external magnetic field. This spin structure can be modeled to extract the direct exchange stiffness of…

Mesoscale and Nanoscale Physics · Physics 2024-09-04 Elliot Wadge , Afan Terko , George Lertzman-Lepofsky , Paul Omelchenko , Bret Heinrich , Manuel Rojas , Erol Girt

Machine learning potentials have emerged as a powerful tool to extend the time and length scales of first principles-quality simulations. Still, most machine learning potentials cannot distinguish different electronic spin orientations and…

Computational Physics · Physics 2022-01-25 Marco Eckhoff , Jörg Behler