Results 41 to 50 of about 4,958 (198)

Precipitation of multi-type nano-quasicrystals in a Mg-Zn-Y alloy

Journal of Magnesium and Alloys
Mg-6Zn-1Y (at.%) ribbons with strengthening precipitates of multi-type nanoquasicrystals were prepared by melt-spinning followed by aging treatments. Microstructural evolution of the rapidly solidified ribbons during isothermal aging was comprehensively ...
W.Z. Wang, X.Z. Zhou, L.F. Zhang, H.Q. Ye, Z.Q. Yang   +4 more
doaj   +1 more source

Large spatial Goos-Hänchen shifts from quasicrystals with graphene

Results in Physics, 2020
We investigate the spatial Goos-Hänchen (GH) shift of reflected beam from quasicrystals composed of Fibonacci dielectrics and graphene. The quasicrystals are composed of two symmetrical Fibonacci dielectrics and graphene is embedded in the center of the ...
Bin Xu, Xiuju Zhao, Ganming Li, Pu Zhang, Dong Zhao, Xiangna Kong, Rui Hua   +6 more
doaj   +1 more source

On the Notions of Symmetry and Aperiodicity for Delone Sets [PDF]

, 2012
Baake M, Grimm U. On the Notions of Symmetry and Aperiodicity for Delone Sets. Symmetry. 2012;4(4):566-580.Non-periodic systems have become more important in recent years, both theoretically and practically. Their description via Delone sets requires the
Uwe Grimm, Grimm, Uwe, Baake, Michael, Michael Baake   +3 more
core   +2 more sources

Large-scale database analysis of anomalous thermal conductivity of quasicrystals and its application to thermal diodes

Science and Technology of Advanced Materials: Methods
One long-standing and crucial issue in the study of quasicrystals has been to identify the physical properties characteristic of quasicrystals. The large positive temperature coefficient of thermal conductivity at temperatures above room temperature ...
Takashi Kurono, Jinjia Zhang, Yasushi Kamimura, Keiichi Edagawa   +3 more
doaj   +1 more source

Quasicrystals – A Paradigm Shift in Crystallography?

CHIMIA, 2014
The discovery of quasicrystals had important consequences for our understanding of long-range order in thermodynamic equilibrium, the definition of the term 'crystal' as well as diffraction theory.
Walter Steurer
doaj   +1 more source

Floquet engineering of topological localization transitions and mobility edges in one-dimensional non-Hermitian quasicrystals

Physical Review Research, 2021
Time-periodic driving fields could endow a system with peculiar topological and transport features. In this work, we find dynamically controlled localization transitions and mobility edges in non-Hermitian quasicrystals via shaking the lattice ...
Longwen Zhou
doaj   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Mechanics of Interfacial Cracks between dissimilar Quasicrystals [PDF]

, 2010
We analize the steady propagation of a straight interfacial crack between two dissimilar planar quasicrystals in pure elastic setting and infinitesimal deformation regime. A closed form solution to the balance equations is furnished. Inertia is attributed
P. M. Mariano, Planas Rosselló, Jaime, Mariano, P.M., Stickle, M.M., M. M. Stickle, Radi, E., J. Planas, RADI, Enrico   +7 more
core   +1 more source

An Exact Method to Determine the Photonic Resonances of Quasicrystals Based on Discrete Fourier Harmonics of Higher-Dimensional Atomic Surfaces

Crystals, 2016
A rigorous method for obtaining the diffraction patterns of quasicrystals is presented. Diffraction patterns are an essential analytical tool in the study of quasicrystals, since they can be used to determine their photonic resonances.
Farhad A. Namin, Douglas H. Werner
doaj   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source