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Amorphous solids are known to fail catastrophically via fracture, wherein cavitation at nano-metric scales is known to play a significant role. Micro-alloying via inclusions is often used as a means to increase the fracture toughness of…

Soft Condensed Matter · Physics 2023-06-09 Umang A. Dattani , Smarajit Karmakar , Pinaki Chaudhuri

The magnetostatic interaction between magnetic domain walls (DWs) in adjacent nanotracks has been shown to produce strong inter-DW coupling and mutual pinning. In this paper, we have used electrical measurements of adjacent spin-valve…

Materials Science · Physics 2013-04-04 J. Sampaio , L. O'Brien , D. Petit , D. E. Read , E. R. Lewis , H. T. Zeng , L. Thevenard , S. Cardoso , R. P. Cowburn

The critical behavior of charge-density waves (CDWs) in the pinned phase is studied for applied fields increasing toward the threshold field, using recently developed renormalization group techniques and simulations of automaton models.…

Condensed Matter · Physics 2009-10-22 O. Narayan , A. Alan Middleton

Surfaces and structures capable of multiple stable configurations have attracted growing interest for on-demand shape morphing. In this work, we consider an elastic compliant plate coupled to a two-dimensional foundation comprising an array…

Applied Physics · Physics 2025-12-24 Dengge Jin , Samuele Ferracin , Vincent Tournat , Jordan R. Raney

We present a theory of the current-voltage characteristics of a magnetic domain wall between two highly spin-polarized materials, which takes into account the effect of the electrical bias on the spin-flip probability of an electron…

Mesoscale and Nanoscale Physics · Physics 2016-08-31 M. Deutsch , G. Vignale , M. E. Flatte'

We report on an astonishing switching synchronization phenomenon in one-dimensional memristive networks, which occurs when several memristive systems with different switching constants are switched from the high to low resistance state. Our…

Mesoscale and Nanoscale Physics · Physics 2016-10-31 V. A. Slipko , M. Shumovskyi , Y. V. Pershin

We explore the effect of varying drive on metastability features exhibited by the vortex matter in single crystals of 2H-NbSe$_2$ and CeRu$_2$ with varying degree of random pinning. An optimal balance between the pinning and driving force…

Superconductivity · Physics 2009-11-11 A. D. Thakur , S. S. Banerjee , M. J. Higgins , S. Ramakrishnan , A. K. Grover

In this paper, we study the inference accuracy of the Resistive Random Access Memory (ReRAM) neuromorphic circuit due to stuck-at faults (stuck-on, stuck-off, and stuck at a certain resistive value). A simulation framework using Python is…

Hardware Architecture · Computer Science 2024-08-16 Vedant Sawal , Hiu Yung Wong

The aggressive scaling down of flash memories has threatened data reliability since the scaling down of cell sizes gives rise to more serious degradation mechanisms such as cell-to-cell interference and lateral charge spreading. The effect…

Information Theory · Computer Science 2014-12-11 Yongjune Kim , Kyoung Lae Cho , Hongrak Son , Jaehong Kim , Jun Jin Kong , Jaejin Lee , B. V. K. Vijaya Kumar

We present experimental results on the displacement of a domain wall by injection of a dc current through the wall. The samples are 1 micron wide long stripes of a CoO/Co/Cu/NiFe classical spin valve structure. The stripes have been…

Materials Science · Physics 2009-11-07 J. Grollier , D. Lacour , V. Cros , A. Hamzic , A. Vaures , A. Fert , D. Adam , G. Faini

With Monte Carlo simulations, the nonsteady dynamics properties of a domain wall have been systematically investigated for the thermally activated creep state under an alternating driving field. Taking the driven random-field Ising model in…

Statistical Mechanics · Physics 2014-07-11 N. J. Zhou , B. Zheng

To make progress in understanding the issue of memory loss and history dependence in evolving complex systems, we consider the mixing rate that specifies how fast the future states become independent of the initial condition. We propose a…

Statistical Mechanics · Physics 2024-06-19 Miroslav Kramar , Lenka Kovalcinova , Konstantin Mischaikow , Lou Kondic

With recent trend of wearable devices and Internet of Things (IoTs), it becomes attractive to develop hardware-based deep convolutional neural networks (DCNNs) for embedded applications, which require low power/energy consumptions and small…

Neural and Evolutionary Computing · Computer Science 2018-02-06 Xiaolong Ma , Yipeng Zhang , Geng Yuan , Ao Ren , Zhe Li , Jie Han , Jingtong Hu , Yanzhi Wang

Humans possess a finely tuned sense of uncertainty that helps anticipate potential errors, vital for adaptive behavior and survival. However, the underlying neural mechanisms remain unclear. This study applies moment neural networks (MNNs)…

Biological Physics · Physics 2024-11-22 Hengyuan Ma , Wenlian Lu , Jianfeng Feng

Disordered pinning models are statistical mechanics models built on discrete renewal processes: renewal epochs in this context are called contacts. It is well known that pinning models can undergo a localization/delocalization phase…

Probability · Mathematics 2025-07-17 Giambattista Giacomin , Marco Zamparo

We study the contribution of stochastic motion of a domain wall (DW) to the dielectric AC susceptibility for low frequencies. Using the concept of waiting time distributions, which is related to the energy landscape of the DW in a…

Disordered Systems and Neural Networks · Physics 2009-11-10 Andrei A. Fedorenko , Volkmar Mueller , Semjon Stepanow

Because deep neural networks (DNNs) rely on a large number of parameters and computations, their implementation in energy-constrained systems is challenging. In this paper, we investigate the solution of reducing the supply voltage of the…

Machine Learning · Computer Science 2019-11-26 Ghouthi Boukli Hacene , François Leduc-Primeau , Amal Ben Soussia , Vincent Gripon , François Gagnon

Magnetic field driven domain wall velocities in [Co/Ni] based multilayers thin films have been measured using polar magneto-optic Kerr effect microscopy. The low field results are shown to be consistent with the universal creep regime of…

The commercialization of non-volatile memories based on ferroelectric transistors (FeFETs) has remained elusive due to scaling, retention, and endurance issues. Thus, it is important to develop accurate characterization tools to quantify…

Applied Physics · Physics 2020-05-15 Nicoló Zagni , Paolo Pavan , Muhammad Ashraful Alam

Dynamic Random Access Memory (DRAM) is the de-facto choice for main memory devices due to its cost-effectiveness. It offers a larger capacity and higher bandwidth compared to SRAM but is slower than the latter. With each passing generation,…

Hardware Architecture · Computer Science 2022-01-19 Kaustav Goswami , Hemanta Kumar Mondal , Shirshendu Das , Dip Sankar Banerjee
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