Results 31 to 40 of about 999 (173)

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-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

Altermagnetism in Quasicrystals

Physical Review Letters
Phys. Rev. Lett.
Rui Chen, Bin Zhou, Dong-Hui Xu
openaire   +2 more sources

Defects in Quasicrystals

, 1989
There are several incentives to identify the analogues of dislocations and disclinations in quasicrystals. Penrose patterns are two-dimensional systems, and according to phase space counting fluctuations of the atomic displacements are so strong that exact long-range order is reduced to quasi-longrange order just as in periodic crystals.
Bohsung, Jörg, Trebin, Hans-Rainer
openaire   +3 more sources

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +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

Formation of ethylene-vinyl acetate composites filled with Al–Cu–Fe and Al–Cu–Cr quasicrystallline particles

Journal of Materials Research and Technology, 2019
Icosahedral Al65Cu23Fe12 and decagonal Al73Cu11Cr16 quasicrystalline powders were synthesized by the mechanical alloying and subsequent annealing. Morphology evolution at mechanical alloying of Al-based powders was found to be determined by competition ...
Victor V. Tcherdyntsev, Andrey A. Stepashkin, Dilyus I. Chukov, Leonid K. Olifirov, Fedor S. Senatov   +4 more
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