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Antiferromagnets (AFMs) exhibit intrinsic magnetization when the order parameter spatially varies. This intrinsic spin is present even at equilibrium and can be interpreted as a twisting of the homogeneous AFM into a state with a finite…

Mesoscale and Nanoscale Physics · Physics 2016-03-18 Erlend G. Tveten , Tristan Müller , Jacob Linder , Arne Brataas

For over ten years, arrays of interacting single-domain nanomagnets, referred to as artificial spin ices, have been engineered with the aim to study frustration in model spin systems. Here, we use Fresnel imaging to study the reversal…

Smart electronic circuits that support neuromorphic computing on the hardware level necessitate materials with memristive, memcapacitive, and neuromorphic-like functional properties; in short, the electronic response must depend on the…

We investigate numerically the homogenized permittivities of composites made of low index dielectric inclusions in a ferroelectric matrix under a static electric field. A refined model is used to take into account the coupling between the…

Applied Physics · Physics 2019-09-04 Benjamin Vial , Yang Hao

In the quest to develop spintronic logic, it was discovered that magnetoelectric switching results in lower energy and shorter switching time than other mechanisms. Magnetoelectric (ME) field due to exchange bias at the interface with a…

Mesoscale and Nanoscale Physics · Physics 2017-09-22 Dmitri E. Nikonov , Sasikanth Manipatruni , Ian A. Young

The design of the interfacial bondings at metal-oxide interfaces yields exciting new phenomena and can be a route to sustain, and even promote, ferroelectricity at the nanoscale. We study the impact of these interfaces on the nature of the…

Materials Science · Physics 2014-08-12 A. Cano , A. P. Levanyuk

The spin dynamics of all ferromagnetic materials are governed by two types of collective excitations: spin waves and domain walls. The fundamental processes underlying these collective modes, such as exchange interactions and magnetic…

Mesoscale and Nanoscale Physics · Physics 2015-09-22 A. Spinelli , B. Bryant , F. Delgado , J. Fernández-Rossier , A. F. Otte

While offering unprecedented resolution of atomic and electronic structure, Scanning Probe Microscopy techniques have found greater challenges in providing reliable electrostatic characterization at the same scale. In this work, we…

Artificially induced asymmetric tribological properties of ferroelectrics offer an alternative route to visualize and control ferroelectric domains. Here, we observe the switchable friction and wear behavior of ferroelectrics using a…

Atomic force microscopy was used to investigate ferroelectric switching and nanoscale domain dynamics in epitaxial PbZr0.2Ti0.8O3 thin films. Measurements of the writing time dependence of domain size reveal a two-step process in which…

Disordered Systems and Neural Networks · Physics 2013-11-07 P. Paruch , T. Giamarchi , T. Tybell , J. -M. Triscone

Prions are misfolded proteins that transmit their structural arrangement to neighboring proteins. In biological systems, prion dynamics can produce a variety of complex functional outcomes. Yet, an understanding of prionic causes has been…

Soft Condensed Matter · Physics 2025-01-14 Mathieu Ouellet , Dani S. Bassett , Lee C. Bassett , Kieran A. Murphy , Shubhankar P. Patankar

Electronic excitations in a ferromagnet can trigger ultrafast spin dynamics with potential applications in a speed increase in magnetic recording. The project investigates ultrafast magnetization dynamics, which is driven in metallic layers…

Materials Science · Physics 2010-07-06 Adrian Glaubitz

Domain structures play a crucial role in the electric, mechanical and other properties of ferroelectric materials. In this study, we uncover the physical origins of the enigmatic zigzag domain structure in the prototypical multiferroic…

Autonomous experimentation holds the potential to accelerate materials development by combining artificial intelligence (AI) with modular robotic platforms to explore extensive combinatorial chemical and processing spaces. Such self-driving…

Many important multi-component crystalline solids undergo mechanochemical spinodal decomposition: a phase transformation in which the compositional redistribution is coupled with structural changes of the crystal, resulting in dynamically…

Computational Engineering, Finance, and Science · Computer Science 2023-07-19 Xiaoxuan Zhang , Krishna Garikipati

Machine learning offers an exciting opportunity to improve the calibration of nearly all reconstructed objects in high-energy physics detectors. However, machine learning approaches often depend on the spectra of examples used during…

High Energy Physics - Phenomenology · Physics 2022-09-02 Rikab Gambhir , Benjamin Nachman , Jesse Thaler

Controlling magnetism using voltage is highly desired for applications, but remains challenging due to fundamental contradiction between polarity and magnetism. Here we propose a mechanism to manipulate magnetic domain walls in…

Materials Science · Physics 2021-03-22 Jun Chen , Shuai Dong

Among smart materials, piezoelectric materials occupy a very prominent position for sensing and actuation functions. Combined with simple or more advanced shunts, they are also proposed in various vibration mitigation schemes. However, the…

Applied Physics · Physics 2026-04-28 Bart Van Damme , Alexandre Brun d'Arre , Patrick Danner , Dorina Opris , Andrea Bergamini

Imaging the magnetic domain wall behavior in patterned thin films under external stimuli can enable understanding the underlying energy landscape as well as the role of local microstructure and defects. We present an automated workflow for…

Materials Science · Physics 2025-03-13 Charudatta Phatak , John Fullerton , Hanu Arava

Advances in predictive modeling across multiple disciplines have yielded generative models capable of high veracity in predicting macroscopic functional responses of materials. Correspondingly, of interest is the inverse problem of finding…

Disordered Systems and Neural Networks · Physics 2020-08-11 Sergei V. Kalinin , Maxim Ziatdinov , Rama K. Vasudevan
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