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Investigating the emergence of complexity in disordered interacting systems, central to fields like spin glass physics, remains challenging due to difficulties in systematic experimental tuning. We introduce a tunable artificial spin…

Mesoscale and Nanoscale Physics · Physics 2025-06-10 Vinayak Shantaram Bhat , M. Benjamin Jungfleisch

Controlling laser-induced pattern formation remains a long-standing challenge. A key advance was recognising the pivotal role of intrinsic feedback mechanisms in self-organisation, which enabled self-similar patterns with long-range order…

Precise control of spatial spin structures, such as spin helices, is critical for advancing spintronic devices, particularly in non-volatile, low-power information storage and processing. Conventional techniques, including transient spin…

Mesoscale and Nanoscale Physics · Physics 2025-05-05 Keito Kikuchi , Jun Ishihara , Miari Hiyama , Sota Yamamoto , Yuzo Ohno , Takachika Mori , Kensuke Miyajima , Makoto Kohda

We present a novel approach to spin manipulation in atomic-scale nanostructures. Our ab initio calculations clearly demonstrate that it is possible to tune magnetic properties of sub-nanometer structures by adjusting the geometry of the…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 O. O. Brovko , P. A. Ignatiev , V. S. Stepanyuk , P. Bruno

We unveil novel spin textures in an itinerant fermion model on a frustrated triangular lattice in the limit of low electronic density. Using hybrid Monte Carlo simulations on finite clusters we identify two type of nanoscale spin textures…

Strongly Correlated Electrons · Physics 2016-05-04 Sahinur Reja , Jeroen van den Brink , Sanjeev Kumar

Moire engineering in two-dimensional transition metal dichalcogenides enables access to correlated quantum phenomena. Realizing such effects demands simultaneous control over twist angle and material composition to modulate phonons,…

The interplay of magnetic interactions in chiral multilayer films gives rise to nanoscale topological spin textures, which form attractive elements for next-generation computing. Quantifying these interactions requires several specialized,…

Nanoscale magnetic skyrmions have interesting static and transport properties that make them candidates for future spintronic devices. Control and manipulation of the size and behavior of skyrmions is thus of crucial importance. Using a…

Mesoscale and Nanoscale Physics · Physics 2017-12-13 Steven S. -L. Zhang , C. Phatak , A. K. Petford-Long , O. G. Heinonen

Artificial spin ices are ensembles of geometrically-arranged, interacting nanomagnets which have shown promising potential for the realization of reconfigurable magnonic crystals. Such systems allow for the manipulation of spin waves on the…

Mesoscale and Nanoscale Physics · Physics 2020-04-21 Ezio Iacocca , Sebastian Gliga , Olle Heinonen

A topological modulation of magnetic thin films can induce a magnetic anisotropy of magnetostatic origin. In this letter, we report on the magnetic properties of NiFe layers deposited on wavy shaped Si substrates. Without any modulation,…

Materials Science · Physics 2009-01-20 J. Briones , F. Montaigne , G. Lengaigne , D. Lacour , M. Hehn

Magnetic anisotropy is a key parameter of magnetic materials as it decides the response in the presence of an external magnetic field. The artificial tailoring of magnetic anisotropy by manipulating surface and interface morphology is…

Materials Science · Physics 2023-02-24 Anup Kumar Bera , Dileep Kumar

Random lasing exploits multiple scattering to provide optical feedback without conventional resonant cavities, enabling simplified architectures that are readily integrated into compact photonic platforms such as wearable sensors and…

We report the creation and real-space observation of magnetic structures with well-defined topological properties and a lateral size as low as about 150 nm. They are generated in a thin ferrimagnetic film by ultrashort single optical laser…

Mesoscale and Nanoscale Physics · Physics 2013-05-06 M. Finazzi , M. Savoini , A. R. Khorsand , A. Tsukamoto , A. Itoh , L. Duò , A. Kirilyuk , Th. Rasing , M. Ezawa

Cylindrical magnetic nanowires with large transversal magnetocrystalline anisotropy have been shown to sustain non-trivial magnetic configurations resulting from the interplay of spatial confinement, exchange, and anisotropies. Exploiting…

Mesoscale and Nanoscale Physics · Physics 2021-07-29 I. M. Andersen , D. Wolf , L. A. Rodriguez , A. Lubk , D. Oliveros , C. Bran , T. Niermann , U. K. Rößler , M. Vazquez , C. Gatel , E. Snoeck

Topologically non-trivial spin textures, such as skyrmions and dislocations, display emergent electrodynamics and can be moved by spin currents over macroscopic distances. These unique properties and their nanoscale size make them excellent…

Recent advances in programmable metasurfaces, also dubbed as reconfigurable intelligent surfaces (RISs), are envisioned to offer a paradigm shift from uncontrollable to fully tunable and customizable wireless propagation environments,…

Networking and Internet Architecture · Computer Science 2021-09-14 Lina Mohjazi , Ahmed Zoha , Lina Bariah , Sami Muhaidat , Paschalis C. Sofotasios , Muhammad Ali Imran , Octavia A. Dobre

Topological textures in magnetically ordered materials are important case studies for fundamental research with promising applications in data science. They can also serve as photonic elements to mold electromagnetic fields endowing them…

Magnonics, which employs spin-waves to transmit and process information, is a promising venue for low-power data processing. One of the major challenges is the local control of the spin-wave propagation path. Here, we introduce the concept…

Swirling spin textures, including topologically non-trivial states, such as skyrmions, chiral domain walls, and magnetic vortices, have garnered significant attention within the scientific community due to their appeal from both fundamental…

Macroscopic spin ensembles possess brain-like features such as non-linearity, plasticity, stochasticity, selfoscillations, and memory effects, and therefore offer opportunities for neuromorphic computing by spintronics devices. Here we…

Disordered Systems and Neural Networks · Physics 2021-01-11 Weichao Yu , Jiang Xiao , Gerrit E. W. Bauer