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  3. What is a Quasicrystal? Approaches, And Future Implications
Quantum Computing

What is a Quasicrystal? Approaches, And Future Implications

Posted on June 16, 2025 by Jettipalli Lavanya4 min read
What is a Quasicrystal? Approaches, And Future Implications

In this article, we will learn what is a quasicrystal, its approaches, and future lmplications

What Makes Quasicrystals Exist? Scientists Provide Their Stability’s First Quantum-Mechanical Model

Previously believed to be impossible, these mysterious materials are actually fundamentally stable, according to a ground-breaking study from the University of Michigan that produced the first quantum-mechanical simulations of quasicrystals. This new research overcomes the constraints of classic quantum mechanics approaches, hence resolving earlier difficulties in comprehending quasicrystals. Despite their glass-like disordered appearance, the results, which were published in Nature Physics, imply that quasicrystals behave like stable crystals in their atomic configurations.

What is a Quasicrystal

Scientists have been perplexed by quasicrystals for decades as a confusing intermediary form of matter between chaotic amorphous solids like glass and highly ordered crystals. This long-range translational periodicity is absent from quasicrystals, which have ordered lattices but lack the infinitely repeating atomic patterns found in regular crystals. After finding an aluminium and manganese alloy with an unprecedented five-fold symmetry in 1984, Israeli scientist Daniel Shechtman was the first to describe them.

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At the time, this property was thought to prevent repeating patterns in crystals. Despite strong opposition, Shechtman was awarded the 2011 Nobel Prize in Chemistry after other laboratories verified their existence and even discovered them in meteorites that were billions of years old. The basic topic of their stability, however, remained unresolved because quasicrystals by nature do not have indefinitely repeating patterns, which are necessary for density functional theory (DFT), a typical quantum-mechanical approach.

A Novel Simulation Approach:

In order to address this persistent issue, a group headed by PhD student Woohyeon Baek and Wenhao Sun, the Dow Early Career Assistant Professor of Materials Science and Engineering, created a novel modelling technique. Their method consists of “scooping out” smaller nanoparticles from a larger simulated quasicrystal block, as opposed to use endless repetition. The energy of the bulk quasicrystal might be precisely estimated by computing the total energy contained in these finite nanoparticles and extrapolating across increasing sizes. “The first step to understanding a material is knowing what makes it stable, but it has been hard to tell how quasicrystals were stabilised,” Baek stated.

Enthalpy-Stabilized, Like Crystals:

Using this technique, the researchers concluded that two well-researched quasicrystal alloys of ytterbium-cadmium and scandium-zinc are “enthalpy-stabilized,” similar to crystals. Unlike glass, which is “entropy-stabilized” due to rapid cooling that freezes atoms into a wide variety of potential disordered arrangements, their atomic arrangements minimise chemical bond energy, which is how typical crystals attain their stability.

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Overcoming Computational Hurdles:

It was necessary to simulate the largest possible nanoparticles in order to obtain accurate energy estimations, which is typically difficult because of problems with computing time scaling. Computing time may increase eightfold if nanoparticles were doubled in number, even if they were only hundreds. The GPU-accelerated approach, co-developed with Professor Vikram Gavini, reduces processor-to-processor communication and speeds up the computation by 100 times. This breakthrough made quasicrystal analysis easier and enabled the simulation of complex materials like glass, amorphous solids, and quantum computing-relevant crystal defects.

Unveiling Dynamic Similarities to Glass-Formers:

Although the University of Michigan study proved that quasicrystals are structurally stable and resemble crystals, a closer examination of their dynamic characteristics shows unexpected parallels to metallic glass-forming liquids. Both glass-forming liquids and heated crystalline solids have two-stage relaxation dynamics (rapid beta and delayed alpha relaxation), according to molecular dynamics simulations. They exhibit a characteristic “kink” on Arrhenius plots for the temperature dependence of their diffusion coefficient and structural relaxation time, which is also seen in actual quasicrystals and metallic glasses.

Most importantly, the analysis of dynamic heterogeneity in particle mobility fluctuations revealed that the non-Gaussian parameter’s peak value rises with cooling, a pattern more typical of glass-forming liquids than hot crystals. Different mechanisms of motion were found at the atomic scale: isolated “phason flips” at low temperatures and common “string-like collective motions” at higher temperatures, which resembled those in glasses.

Their glass-like dynamics are best demonstrated by the “decoupling phenomenon,” namely the disintegration of the Stokes-Einstein connection. The study discovered a fractional Stokes-Einstein relation with a decoupling exponent of roughly 0.33 in which the temperature-normalized self-diffusion coefficient scales with the structural relaxation time. Crystalline solids lack this dissociation, whereas liquids that create glass do. This means that metallic glass-forming devices are more compatible with quasicrystal dynamics than ordinary crystals.

Future Implications:

This US Department of Energy-supported study provides fresh information regarding quasicrystals’ basic features. Connecting the dots between knowledge of solid structure and dynamics, it supports the notion that quasicrystals are genuinely a hybrid form of matter. More research will be done on phason flip motions and how they relate to vibrational characteristics, especially in three-dimensional quasicrystal models.

You can also read VQC-MLPNet: A Hybrid Quantum-Classical Architecture For ML

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Written by

Jettipalli Lavanya

Jettipalli Lavanya is a technology content writer and a researcher in quantum computing, associated with Govindhtech Solutions. Her work centers on advanced computing systems, quantum algorithms, cybersecurity technologies, and AI-driven innovation. She is passionate about delivering accurate, research-focused articles that help readers understand rapidly evolving scientific advancements.

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