Literature DB >> 23005762

Hysteresis and return-point memory in colloidal artificial spin ice systems.

A Libál1, C Reichhardt, C J Olson Reichhardt.   

Abstract

Using computer simulations, we investigate hysteresis loops and return-point memory for artificial square and kagome spin ice systems by cycling an applied bias force and comparing microscopic effective spin configurations throughout the hysteresis cycle. Return-point memory loss is caused by motion of individual defects in kagome ice or of grain boundaries in square ice. In successive cycles, return-point memory is recovered rapidly in kagome ice. Memory is recovered more gradually in square ice due to the extended nature of the grain boundaries. Increasing the amount of quenched disorder increases the defect density but also enhances the return-point memory since the defects become trapped more easily.

Entities:  

Year:  2012        PMID: 23005762     DOI: 10.1103/PhysRevE.86.021406

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  Dynamic Control of Topological Defects in Artificial Colloidal Ice.

Authors:  A Libál; C Nisoli; C Reichhardt; C J Olson Reichhardt
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379

2.  Engineering of frustration in colloidal artificial ices realized on microfeatured grooved lattices.

Authors:  Antonio Ortiz-Ambriz; Pietro Tierno
Journal:  Nat Commun       Date:  2016-02-01       Impact factor: 14.919

3.  Ice rule fragility via topological charge transfer in artificial colloidal ice.

Authors:  András Libál; Dong Yun Lee; Antonio Ortiz-Ambriz; Charles Reichhardt; Cynthia J O Reichhardt; Pietro Tierno; Cristiano Nisoli
Journal:  Nat Commun       Date:  2018-10-08       Impact factor: 14.919

4.  Magnetization dynamics of weakly interacting sub-100 nm square artificial spin ices.

Authors:  Jose M Porro; Sophie A Morley; Diego Alba Venero; Rair Macêdo; Mark C Rosamond; Edmund H Linfield; Robert L Stamps; Christopher H Marrows; Sean Langridge
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  4 in total

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