English
Related papers

Related papers: Pinning Fault Mode Modeling for DWM Shifting

200 papers

Although charge density wave (CDW) correlations appear to be a ubiquitous feature of the superconducting cuprates, their disparate properties suggest a crucial role for coupling or pinning of the CDW to lattice deformations and disorder.…

We present a model for current-driven motion of a magnetic domain-wall line, in which the dynamics of the domain wall is equivalent to that of an overdamped vortex line in an anisotropic pinning potential. This potential has both extrinsic…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 R. A. Duine , C. Morais Smith

The geometry and morphology of magnetic domain walls (DWs) are closely related to their dynamics when driven by external forces. Under some reliable approximations DWs can be considered self-affine interfaces, so universal laws govern their…

Disordered Systems and Neural Networks · Physics 2023-12-29 P. Domenichini , G. Pasquini , M. G. Capeluto

Physics-informed Neural Networks (PINNs) have recently gained popularity due to their effective approximation of partial differential equations (PDEs) using deep neural networks (DNNs). However, their out of domain behavior is not well…

Machine Learning · Computer Science 2023-11-28 Lukas Fesser , Luca D'Amico-Wong , Richard Qiu

The theory of elasticity and pinning of domain walls in helical magnets is presented. Domain walls perpendicular to the helical axis show non-local elasticity and are marginally pinned by local disorder. Weak anisotropy combined with…

Mesoscale and Nanoscale Physics · Physics 2014-06-03 Bahman Roostaei , Thomas Nattermann

We study the kinetic roughening of a driven domain wall between spin-up and spin-down domains for a model with non-conserved order parameter and quenched disorder. To understand the scaling behavior of this interface we construct an…

Disordered Systems and Neural Networks · Physics 2008-02-03 M. Jost , K. D. Usadel

The rapid advancement of neuromorphic technology aims to address the memory wall challenge inherent in conventional von Neumann architectures. This paper critically examines current digital neuromorphic processors and their strategies to…

Hardware Architecture · Computer Science 2026-04-13 Amirreza Yousefzadeh , Sameed Sohail , Ana Lucia Varbanescu

We examine driven superconducting vortices interacting with quenched disorder where we measure the memory effects under a sequence of drive pulses applied perpendicular to each other. As a function of disorder strength, we find four types…

Superconductivity · Physics 2024-04-22 C. Reichhardt , C. J. O. Reichhardt

Type II superconductors exhibit a fascinating phenomenology that is determined by the dynamical properties of the vortex matter hosted by the material. A crucial element in this phenomenology is vortex pinning by material defects, e.g.,…

Superconductivity · Physics 2020-11-25 Martin Buchacek , Vadim B. Geshkenbein , Gianni Blatter

In this work we study the evolution of intrinsic domain wall magnetoresistance (DWMR) with domain wall confinement. Clean permalloy notched half-ring nanocontacts are fabricated using a special ultra-high vacuum electromigration procedure…

Predicting the future behaviour of complex systems exhibiting critical-like dynamics is often considered to be an intrinsically hard task. Here, we study the predictability of the depinning dynamics of elastic interfaces in random media…

Statistical Mechanics · Physics 2026-02-03 Valtteri Haavisto , Marcin Mińkowski , Lasse Laurson

Compensated ferrimagnets are promising materials for fast spintronic applications based on domain wall motion as they combine the favourable properties of ferromagnets and antiferromagnets. They inherit from antiferromagnets immunity to…

Magnetic domain walls can be moved by spin-polarized currents due to spin-transfer torques. This opens the possibility to use them in spintronic memory devices as, e.g., in racetrack storage. Naturally, in miniaturized devices domain walls…

Mesoscale and Nanoscale Physics · Physics 2019-09-04 Martin Stier , Jennifer Erdmann , Michael Thorwart

We numerically study the effect of adding quenched disorder in the form of randomly placed pinning sites on jamming transitions in systems that jam at a well defined point J in the clean limit. Quenched disorder decreases the jamming…

Soft Condensed Matter · Physics 2015-06-04 C. J. Olson Reichhardt , E. Groopman , Z. Nussinov , C. Reichhardt

Deep Learning (DL) systems have proliferated in many applications, requiring specialized hardware accelerators and chips. In the nano-era, devices have become increasingly more susceptible to permanent and transient faults. Therefore, we…

Machine Learning · Computer Science 2023-05-26 Alessio Colucci , Andreas Steininger , Muhammad Shafique

Pinning models are built from discrete renewal sequences by rewarding (or penalizing) the trajectories according to their number of renewal epochs up to time $N$, and $N$ is then sent to infinity. They are statistical mechanics models to…

Probability · Mathematics 2015-02-27 Julien Sohier

Recurrently connected neuron populations play key roles in sensory perception and memory storage across various brain regions. While these populations are often assumed to encode information through firing rates, this method becomes…

Neurons and Cognition · Quantitative Biology 2025-09-05 Mauricio Girardi-Schappo , Leonard Maler , André Longtin

We study the cosmological evolution of domain wall networks in two and three spatial dimensions in the radiation and matter eras using a large number of high-resolution field theory simulations with a large dynamical range. We investigate…

High Energy Physics - Theory · Physics 2009-11-11 P. P. Avelino , J. C. R. E. Oliveira , C. J. A. P. Martins

The growth in data needs of modern applications has created significant challenges for modern systems leading a "memory wall." Spintronic Domain Wall Memory (DWM), related to Spin-Transfer Torque Memory (STT-MRAM), provides near-SRAM…

Emerging Technologies · Computer Science 2022-08-02 Sebastien Ollivier , Stephen Longofono , Prayash Dutta , Jingtong Hu , Sanjukta Bhanja , Alex K. Jones

Magnetic domain wall motion is at the heart of new magneto-electronic technologies and hence the need for a deeper understanding of domain wall dynamics in magnetic systems. In this context, numerical simulations using simple models can…

Mesoscale and Nanoscale Physics · Physics 2018-06-20 Nirvana B. Caballero , Ezequiel E. Ferrero , Alejandro B. Kolton , Javier Curiale , Vincent Jeudy , Sebastian Bustingorry