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Computational Methods towards Ultrastable Glasses

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
abstract

Ultrastable glasses, amorphous solids with exceptionally low-energy states and enhanced kinetic, thermodynamic and mechanical stability, have long been a subject of intense experimental interest. Over the past decade, their computational realization has emerged as a major goal in condensed matter physics, as numerical methods can exploit unphysical moves to access deeply supercooled and nonequilibrium glassy states far beyond the reach of conventional cooling protocols, thereby providing key insights into the nature of the glass transition and amorphous states and enabling the design of mechanically robust glassy materials. In this review, we outline the key steps underlying the most effective algorithms developed across the field. For each approach, we discuss its efficiency, limitations, and physical interpretation. We finally present a comparative analysis of the stability achieved across these methods, with the aim of equipping both newcomers and experts with an intuitive and comprehensive understanding of the field's current state and the opportunities it presents.

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2026 2

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UNVERDICTED 2

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representative citing papers

Entropy of Liquids and Glasses from Recurring Structural Patterns

cond-mat.stat-mech · 2026-05-28 · unverdicted · novelty 7.0

Configurational entropy of 2D supercooled liquids is computed as the decay rate of recurrent structural patterns with patch size using a higher-dimensional Grassberger-Procaccia algorithm, agreeing quantitatively with conventional definitions and matching aging states at equal inherent-structure ene

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Showing 2 of 2 citing papers.

  • Entropy of Liquids and Glasses from Recurring Structural Patterns cond-mat.stat-mech · 2026-05-28 · unverdicted · none · ref 66 · internal anchor

    Configurational entropy of 2D supercooled liquids is computed as the decay rate of recurrent structural patterns with patch size using a higher-dimensional Grassberger-Procaccia algorithm, agreeing quantitatively with conventional definitions and matching aging states at equal inherent-structure ene

  • Identifying the relevant parameters in design strategies for stable glasses cond-mat.stat-mech · 2026-05-12 · unverdicted · none · ref 14 · internal anchor

    Optimizing hyperuniformity and local ordering without changing particle diameters produces no stability gain, showing that diameter dynamics drives ultrastability rather than the optimized quantities.