Emergent Disorder and Mechanical Memory in Periodic Metamaterials

Merrigan, Carl; Shohat, Dor; Sirote, Chaviva; Lahini, Yoav; Nisoli, Cristiano; Shokef, Yair

doi:10.48550/arxiv.2204.04000

Cited by 3 publications

(4 citation statements)

References 35 publications

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“…Another direction in exploring memory effects has aimed at the design of mechanical networks is to achieve desired properties or response, such as large negative Poisson ratios [414], or allosteric response [415]. Such properties have been achieved through computational design exploiting specific material properties [409,410], or through the evolution of the mechanical properties of network components under loading, for example through a process that has been described as directed ageing [414]. Such mechanical networks are capable of retaining multiple memories, such as multiple allosteric responses.…”

Section: Current and Future Challengesmentioning

confidence: 99%

“…Useful alternate descriptions of memory encoding in these systems are thus highly desirable. (ii) Several approaches have been explored to design [408][409][410] or train [414][415][416][417]419] networks (or metamaterials) with desired properties, starting from network elements with given properties, and a given network topology. The simplest formulation of the problem is through a (design) cost function whose minimisation would correspond to achieving the design goal.…”

Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

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Soft matter roadmap^*

Barrat,

Del Gado,

Egelhaaf

et al. 2023

J. Phys. Mater.

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Soft materials are usually defined as materials made of mesoscopic entities, often self-organized, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterize them, this renders soft matter systems powerful model systems to investigate statistical physics phenomena, many of them relevant as well to hard condensed matter systems. Understanding the emerging properties from mesoscale constituents still poses enormous challenges, which have stimulated a wealth of new experimental approaches, including the synthesis of new systems with, e.g., tailored self-assembling properties, or novel experimental techniques in imaging, scattering or rheology. Theoretical and numerical methods, and coarse-grained models, have become central to predict physical properties of soft materials, while computational approaches that also use machine learning tools are playing a progressively major role in many investigations.This roadmap paper intends to give a broad overview of recent and possible future activities in the field of soft materials, with experts covering various developments and challenges in material synthesis and characterization, instrumental, simulation and theoretical methods as well as general concepts.

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Section: Current and Future Challengesmentioning

confidence: 99%

Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

Soft matter roadmap^*

Barrat,

Del Gado,

Egelhaaf

et al. 2023

J. Phys. Mater.

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show abstract

“…In the Cairo geometry, recent experimental works have found a rich behavior due to frustration [21,22], while Monte Carlo simulations reported the presence of long-range order [23]. Even mechanical analogues of Cairo artificial spin ice were realized via 3D-printing [24].…”

Section: Introductionmentioning

confidence: 99%

Ice rule breakdown and frustrated antiferrotoroidicity in an artificial colloidal Cairo ice

Rodríguez-Gallo,

Ortiz-Ambriz,

Nisoli

et al. 2023

New J. Phys.

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We combine experiments and numerical simulations to investigate the lowenergy states and the emergence of topological defects in an artificial colloidal ice inthe Cairo geometry. This type of geometry is characterized by a mixed coordination(z), with coexistence of both z = 3 and z = 4 vertices. We realize this particle ice byconfining field tunable paramagnetic colloidal particles within a lattice of topographicdouble wells at a one to one filling using optical tweezers. By raising the interactionstrength via an applied magnetic field, we find that the ice rule breaks down, andpositive monopoles with charge q = +2 accumulate in the z = 4 vertices and arescreened by negative ones (q = −1) in the z = 3. The resulting, strongly coupledstate remains disordered. Further, via analysis of the mean chirality associated toeach pentagonal plaquette, we find that the disordered ensemble for this geometry ismassively degenerate and it corresponds to a frustrated antiferrotoroid.

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“…Separate studies have demonstrated how coupled interaction between unit cells, i.e., repeated building blocks in a structure like waves in corrugated sheets [47] or domes in a dome-patterned sheet [48], can change the response depending on their current global state. In yet another example, researchers leverage geometric frustration [49] to exhibit a history-dependent response, i.e., indicating that a system's past states influence its present and future behavior [50].…”

Section: Introductionmentioning

confidence: 99%

A Single-Input State-Switching Building Block Harnessing Internal Instabilities

ten Wolde,

Farhadi

2023

Preprint

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Emergent Disorder and Mechanical Memory in Periodic Metamaterials

Cited by 3 publications

References 35 publications

Soft matter roadmap^*

Soft matter roadmap^*

Ice rule breakdown and frustrated antiferrotoroidicity in an artificial colloidal Cairo ice

A Single-Input State-Switching Building Block Harnessing Internal Instabilities

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Emergent Disorder and Mechanical Memory in Periodic Metamaterials

Cited by 3 publications

References 35 publications

Soft matter roadmap*

Soft matter roadmap*

Ice rule breakdown and frustrated antiferrotoroidicity in an artificial colloidal Cairo ice

A Single-Input State-Switching Building Block Harnessing Internal Instabilities

Contact Info

Product

Resources

About

Soft matter roadmap^*

Soft matter roadmap^*