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Analysis

This paper presents a novel construction of a 4-dimensional lattice-gas model exhibiting quasicrystalline Gibbs states. The significance lies in demonstrating the possibility of non-periodic order (quasicrystals) emerging from finite-range interactions, a fundamental question in statistical mechanics. The approach leverages the connection between probabilistic cellular automata and Gibbs measures, offering a unique perspective on the emergence of complex structures. The use of Ammann tiles and error-correction mechanisms is also noteworthy.
Reference

The paper constructs a four-dimensional lattice-gas model with finite-range interactions that has non-periodic, ``quasicrystalline'' Gibbs states at low temperatures.

Research#Quasicrystals🔬 ResearchAnalyzed: Jan 10, 2026 08:25

Stability Analysis of Quasicrystals in Mathematical Framework

Published:Dec 22, 2025 20:15
1 min read
ArXiv

Analysis

This research explores the stability of quasicrystals using mathematical models. The study's focus on statistical convergence suggests a sophisticated approach to understanding complex physical systems.
Reference

The study focuses on the stability of mathematical quasicrystals under statistical convergence.

Analysis

This research highlights the potential of AI in materials science, specifically accelerating the discovery of complex electronic structures. The use of AI to predict and analyze these structures could lead to advancements in semiconductor technology.
Reference

The article's source is ArXiv, indicating a pre-print of a scientific paper.