Entropy-driven order in an array of nanomagnets

Sağlam, Hilal; Duzgun, Ayhan; Kargioti, Aikaterini; Harle, Nikhil; Zhang, Xiaoyu; Bingham, Nicholas S.; Lao, Yuyang; Gilbert, Ian; Sklenar, Joseph; Watts, Justin D.; Ramberger, Justin; Bromley, Daniel; Chopdekar, Rajesh V.; O’Brien, Liam; Leighton, Chris; Nisoli, Cristiano; Schiffer, P.

doi:10.1038/s41567-022-01555-6

Cited by 7 publications

(3 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, by rationally engineering ordered structures with structural units, e.g., constituent atoms, components/phases, grains, twins, and domain structures, as well as their characteristics such as size, concentration/content, and orientation, new phenomena and superior properties were discovered in the ordered materials across mechanical, catalytic, thermoelectric, and magnetic materials. [6,[12][13][14][15][16][17][18] These achievements initiate an emerging field of ordered materials, in contrast to the conventional materials with a random mixture of constituents. The ordered structures can be created at different length scales, yielding atomic-, nano-, micro-and macro-scale structural orderings as well as multiscale structural orderings across multiple length scales.…”

Section: Introductionmentioning

confidence: 99%

Perspective and Prospects for Ordered Functional Materials

Zhang

2023

Advanced Science

View full text Add to dashboard Cite

Many functional materials are approaching their performance limits due to inherent trade‐offs between essential physical properties. Such trade‐offs can be overcome by engineering a material that has an ordered arrangement of structural units, including constituent components/phases, grains, and domains. By rationally manipulating the ordering with abundant structural units at multiple length scales, the structural ordering opens up unprecedented opportunities to create transformative functional materials, as amplified properties or disruptive functionalities can be realized. In this perspective article, a brief overview of recent advances in the emerging ordered functional materials across catalytic, thermoelectric, and magnetic materials regarding the fabrication, structure, and property is presented. Then the possibility of applying this structural ordering strategy to highly efficient neuromorphic computing devices and durable battery materials is discussed. Finally, remaining scientific challenges are highlighted, and the prospects for ordered functional materials are made. This perspective aims to draw the attention of the scientific community to the emerging ordered functional materials and trigger intense studies on this topic.

show abstract

Section: Introductionmentioning

confidence: 99%

Perspective and Prospects for Ordered Functional Materials

Zhang

2023

Advanced Science

View full text Add to dashboard Cite

show abstract

“…1 A ) that include the four-fold coordinated vertices (

= 4), separated by disordered “staircases” (red islands) containing

= 3 and

= 2 vertices ( 27 ). At

= 0, the phenomenon of vertex frustration ( 26 ) prevents all the staircase vertices from achieving their lowest-energy configuration, leading to extensive degeneracy ( 27 ) and entropy-driven ordering ( 30 , 31 ).…”

Section: Resultsmentioning

confidence: 99%

Deconstructing magnetization noise: Degeneracies, phases, and mobile fractionalized excitations in tetris artificial spin ice

Goryca,

Zhang,

Ramberger

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

Direct detection of spontaneous spin fluctuations, or “magnetization noise,” is emerging as a powerful means of revealing and studying magnetic excitations in both natural and artificial frustrated magnets. Depending on the lattice and nature of the frustration, these excitations can often be described as fractionalized quasiparticles possessing an effective magnetic charge. Here, by combining ultrasensitive optical detection of thermodynamic magnetization noise with Monte Carlo simulations, we reveal emergent regimes of magnetic excitations in artificial “tetris ice.” A marked increase of the intrinsic noise at certain applied magnetic fields heralds the spontaneous proliferation of fractionalized excitations, which can diffuse independently, without cost in energy, along specific quasi-1D spin chains in the tetris ice lattice.

show abstract

“…Vertex frustration in magnetism thus corresponds to incompatibility in mechanical metamaterials. The plethora of frustrated ASI geometries and topologies 36,40,[44][45][46] inspires novel metamaterial designs. We show that in the mechanical system such ASI-inspired design can suppress long-range ordered ground states, and lead to emergent disorder and complex memory formation.…”

mentioning

confidence: 99%

Emergent disorder and mechanical memory in periodic metamaterials

Sirote-Katz,

Shohat,

Merrigan

et al. 2024

Nat Commun

Self Cite

View full text Add to dashboard Cite

Ordered mechanical systems typically have one or only a few stable rest configurations, and hence are not considered useful for encoding memory. Multistable and history-dependent responses usually emerge from quenched disorder, for example in amorphous solids or crumpled sheets. In contrast, due to geometric frustration, periodic magnetic systems can create their own disorder and espouse an extensive manifold of quasi-degenerate configurations. Inspired by the topological structure of frustrated artificial spin ices, we introduce an approach to design ordered, periodic mechanical metamaterials that exhibit an extensive set of spatially disordered states. While our design exploits the correspondence between frustration in magnetism and incompatibility in meta-mechanics, our mechanical systems encompass continuous degrees of freedom, and thus generalize their magnetic counterparts. We show how such systems exhibit non-Abelian and history-dependent responses, as their state can depend on the order in which external manipulations were applied. We demonstrate how this richness of the dynamics enables to recognize, from a static measurement of the final state, the sequence of operations that an extended system underwent. Thus, multistability and potential to perform computation emerge from geometric frustration in ordered mechanical lattices that create their own disorder.

show abstract

Entropy-driven order in an array of nanomagnets

Cited by 7 publications

References 33 publications

Perspective and Prospects for Ordered Functional Materials

Perspective and Prospects for Ordered Functional Materials

Deconstructing magnetization noise: Degeneracies, phases, and mobile fractionalized excitations in tetris artificial spin ice

Emergent disorder and mechanical memory in periodic metamaterials

Contact Info

Product

Resources

About