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Related papers: Exchange Bias Theory: a Review

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Chiral induced spin selectivity is a phenomenon that has been attributed to chirality, spin-orbit interactions, and non-equilibrium conditions, while the role of electron exchange and correlations have been investigated only marginally…

Mesoscale and Nanoscale Physics · Physics 2021-04-28 J. Fransson

High spatial resolution observation of an emerging flux region (EFR) was done using a vector magnetograph and a H-alpha Lyot filtergraph with Domeless Solar Telescope at Hida Observatory on October 22, 2006. In H-alpha wing images, we could…

Astrophysics · Physics 2015-05-13 H. Watanabe , R. Kitai , K. Okamoto , K. Nishida , J. Kiyohara , S. UeNo , M. Hagino , T. T. Ishii , K. Shibata

The Einstein-de Haas (EdH) effect, where the spin angular momentum of electrons is transferred to the mechanical angular momentum of atoms, was established experimentally in 1915. While a semi-classical explanation of the effect exists,…

Mesoscale and Nanoscale Physics · Physics 2019-07-24 T. Wells , A. P. Horsfield , W. M. C. Foulkes , S. L. Dudarev

Using non-equilibrium Green's functions combined with many-body perturbation theory, we have calculated steady-state densities and currents through short interacting chains subject to a finite electric bias. By using a steady-state…

Mesoscale and Nanoscale Physics · Physics 2016-04-18 Daniel Karlsson , Claudio Verdozzi

This work reports an exchange bias (EB) effect up to room temperature in the binary intermetallic bulk compound Mn3.04Ge0.96. The sample annealed at 700 K crystallizes in a tetragonal structure with ferromagnetic ordering, whereas, the…

Materials Science · Physics 2015-06-17 Jin- Feng Qian , Ajaya K. Nayak , Guido Kreiner , Walter Schnelle , Claudia Felser

We demonstrate the exchange coupling of a ferromagnetic semiconductor (Ga1-xMnxAs) with an overgrown antiferromagnet (MnO). Unlike most conventional exchange biased systems, the blocking temperature of the antiferromagnet (T_B = 48 +- 2 K)…

Materials Science · Physics 2009-11-10 K. F. Eid , M. B. Stone , K. C. Ku , P. Schiffer , N. Samarth , T. C. Shih , C. J. Palmstrom

The dynamics of magnetic hysteresis, including the training effect and the field sweep rate dependence of the exchange bias, is experimentally investigated in exchange-coupled potassium split graphene nanoribbons (GNRs). We find that, at…

Mesoscale and Nanoscale Physics · Physics 2012-09-28 S. Narayana Jammalamadakaa , S. S. Rao , J. Vanacken , V. V. Moshchalkov , Wei Lu , J. M. Tour

The ability of spintronic devices to utilize an electric current for manipulating the magnetization has resulted in large-scale developments, such as, magnetic random access memories and boosted the spintronic research area. In this regard,…

Mesoscale and Nanoscale Physics · Physics 2018-08-22 Rajagopalan Ramaswamy , Jong Min Lee , Kaiming Cai , Hyunsoo Yang

The spin Seebeck effect (SSE) refers to the generation of a spin current as a result of a temperature gradient in a magnetic material, which can be detected electrically via the inverse spin Hall effect in a metallic contact. Since the…

Materials Science · Physics 2023-03-14 Takashi Kikkawa , Eiji Saitoh

We investigate the problem of covert quickest change detection in a Bayesian and infinite-horizon setting. A legitimate entity seeks to detect a change in the state of a discrete memoryless channel as quickly as possible by actively probing…

Information Theory · Computer Science 2026-05-18 Yun-Feng Lo , Matthieu R. Bloch

The huge spin precession frequency observed in recent experiments with spin-polarized beams of hot electrons shot through magnetized films is interpreted as being caused by Zeeman coupling of the electron spins to the so-called Weiss…

Strongly Correlated Electrons · Physics 2009-11-11 C. Albert , L. Ferrari , J. Froehlich , B. Schlein

The phenomena of exchange anisotropy is well known in terms of static magnetization properties such as enhanced coercivity and magnetization loop shifts. These effects are primarily associated with effective anisotropies introduced into the…

Materials Science · Physics 2007-05-23 R. L. Stamps , K. Usadel

The effect of the saturation field on the magnetization reversal of FePt(L10)/FeCo/CoO/FeCo multilayer (ML) has been investigated to understand the origin of asymmetric magnetization reversal and its correlation with exchange bias (EB). In…

Materials Science · Physics 2022-08-09 Sadhana Singh , V. R. Reddy , Dileep Kumar

While the principal features of the exchange bias between a ferromagnet and an antiferromagnet are believed to be understood, a quantitative description is still lacking. We show that interface spin disorder is the main reason for the…

Materials Science · Physics 2007-05-23 Florin Radu , Andreas Westphalen , Katharina Theis-Bröhl , Hartmut Zabel

Transfer learning is a burgeoning concept in statistical machine learning that seeks to improve inference and/or predictive accuracy on a domain of interest by leveraging data from related domains. While the term "transfer learning" has…

Machine Learning · Statistics 2023-12-22 Piotr M. Suder , Jason Xu , David B. Dunson

Some magnetic systems display a shift in the center of their magnetic hysteresis loop away from zero field, a phenomenon termed exchange bias. Despite the extensive use of the exchange bias effect, particularly in magnetic multilayers, for…

We employ the recently discovered antiferromagnetic tunneling anisotropic magnetoresistance to study the behavior of antiferromagnetically ordered moments in IrMn exchange coupled to NiFe. Experiments performed by common laboratory tools…

We demonstrate an exchange bias in (Ga,Mn)As induced by antiferromagnetic coupling to a thin overlayer of Fe. Bias fields of up to 240 Oe are observed. Using element-specific x-ray magnetic circular dichroism measurements, we distinguish a…

The exchange bias effect in compensated IrMn3/Co(111) system is studied using multiscale modeling from "ab initio" to atomistic calculations. We evaluate numerically the out-of-plane hysteresis loops of the bi-layer for different thickness…

Materials Science · Physics 2015-06-15 R. Yanes , J. Jackson , L. Udvardi , L. Szunyogh , U. Nowak

An interesting phenomenon arises: Empirical Risk Minimization (ERM) sometimes outperforms methods specifically designed for out-of-distribution tasks. This motivates an investigation into the reasons behind such behavior beyond algorithmic…

Machine Learning · Computer Science 2026-01-21 Hong Zheng , Fei Teng
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