Elasto-optic Effect and Its Spatial Anisotropy in Ca3TaGa3Si2O14 Crystals

Author(s):  
Bohdan Mytsyk ◽  
Yuriy Suhak ◽  
Nataliya Demyanyshyn ◽  
Oleh Buryy ◽  
Nataliya Syvorotka ◽  
...  
Keyword(s):  
2009 ◽  
Vol 47 (1) ◽  
pp. 24-30 ◽  
Author(s):  
A.S. Andrushchak ◽  
B.G. Mytsyk ◽  
N.M. Demyanyshyn ◽  
M.V. Kaidan ◽  
O.V. Yurkevych ◽  
...  

Crystals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 307
Author(s):  
Rebecca L. Dally ◽  
Daniel Phelan ◽  
Nicholas Bishop ◽  
Nirmal J. Ghimire ◽  
Jeffrey W. Lynn

Anisotropy and competing exchange interactions have emerged as two central ingredients needed for centrosymmetric materials to exhibit topological spin textures. Fe3Sn2 is thought to have these ingredients as well, as it has recently been discovered to host room temperature skyrmionic bubbles with an accompanying topological Hall effect. We present small-angle inelastic neutron scattering measurements that unambiguously show that Fe3Sn2 is an isotropic ferromagnet below TC≈660 K to at least 480 K—the lower temperature threshold of our experimental configuration. Fe3Sn2 is known to have competing magnetic exchange interactions, correlated electron behavior, weak magnetocrystalline anisotropy, and lattice (spatial) anisotropy; all of these features are thought to play a role in stabilizing skyrmions in centrosymmetric systems. Our results reveal that at the elevated temperatures measured, there is an absence of significant magnetocrystalline anisotropy and that the system behaves as a nearly ideal isotropic exchange interaction ferromagnet, with a spin stiffness D(T=480 K)=168 meV Å2, which extrapolates to a ground state spin stiffness D(T=0 K)=231 meV Å2.


1986 ◽  
Vol 37 (4) ◽  
pp. 153-154 ◽  
Author(s):  
John D Prestage

2020 ◽  
Vol 2020 (11) ◽  
Author(s):  
Gian Andrea Inkof ◽  
Joachim M. C. Küppers ◽  
Julia M. Link ◽  
Blaise Goutéraux ◽  
Jörg Schmalian

Abstract The transport behavior of strongly anisotropic systems is significantly richer compared to isotropic ones. The most dramatic spatial anisotropy at a critical point occurs at a Lifshitz transition, found in systems with merging Dirac or Weyl point or near the superconductor-insulator quantum phase transition. Previous work found that in these systems a famous conjecture on the existence of a lower bound for the ratio of a shear viscosity to entropy is violated, and proposed a generalization of this bound for anisotropic systems near charge neutrality involving the electric conductivities. The present study uses scaling arguments and the gauge-gravity duality to confirm the previous analysis of universal bounds in anisotropic Dirac systems. We investigate the strongly-coupled phase of quantum Lifshitz systems in a gravitational Einstein-Maxwell-dilaton model with a linear massless scalar which breaks translations in the boundary dual field theory and sources the anisotropy. The holographic computation demonstrates that some elements of the viscosity tensor can be related to the ratio of the electric conductivities through a simple geometric ratio of elements of the bulk metric evaluated at the horizon, and thus obey a generalized bound, while others violate it. From the IR critical geometry, we express the charge diffusion constants in terms of the square butterfly velocities. The proportionality factor turns out to be direction-independent, linear in the inverse temperature, and related to the critical exponents which parametrize the anisotropic scaling of the dual field theory.


2013 ◽  
Vol 52 (16) ◽  
pp. 3757 ◽  
Author(s):  
Anatoliy S. Andrushchak ◽  
Oleh V. Yurkevych ◽  
Bogdan M. Strychalyuk ◽  
Mykhailo M. Klymash ◽  
Andrzej Rusek ◽  
...  

2021 ◽  
pp. 122263
Author(s):  
Sanchari Thakur ◽  
Sumit Kumar Saha ◽  
Pingal Dasgupta ◽  
Rupa Chatterjee ◽  
Subhasis Chattopadhyay

2019 ◽  
Vol 43 (6) ◽  
pp. 1053-1063 ◽  
Author(s):  
G.R. Vorobeva

Monitoring of geomagnetic field parameters and its variations is mainly carried out using ground-based magnetic observatories and variational stations. However, the imperfection of equipment used and the communication channels involved causes the presence of gaps in the time series of geomagnetic data, which, along with the spatial anisotropy of data sources, creates significant obstacles to their automated processing. In addition, the well-known methods for imputation of time series gaps provide the root-mean-square recovery error significantly exceeding the level acceptable for geophysical observations. Thus, the paper proposes a method for recovering geomagnetic data based on statistical methods for processing time series and machine learning principles using marked data and characterized by the fact that a pair of the time series fragments preceding and succeeding a missing fragment provide an indicative description of the time series fragment of interest, which together form a training sample to search for the missing fragment by a set of its attributes, followed by linear scaling to restore the original trend of an information signal. Analytical estimates of parameters of geomagnetic data time series are given, under which it is possible to apply the proposed method to recover both daily variations and several-minutes-long fragments.


2019 ◽  
Vol 18 (2) ◽  
pp. 390-415
Author(s):  
Andrei Vorobev ◽  
Gulnara Vorobeva ◽  
Nafisa Yusupova

. As is known, today the problem of geomagnetic field and its variations parameters monitoring is solved mainly by a network of magnetic observatories and variational stations, but a significant obstacle in the processing and analysis of the data thus obtained, along with their spatial anisotropy, are omissions or reliable inconsistency with the established format. Heterogeneity and anomalousness of the data excludes (significantly complicates) the possibility of their automatic integration and the application of frequency analysis tools to them. Known solutions for the integration of heterogeneous geomagnetic data are mainly based on the consolidation model and only partially solve the problem. The resulting data sets, as a rule, do not meet the requirements for real-time information systems, may include outliers, and omissions in the time series of geomagnetic data are eliminated by excluding missing or anomalous values from the final sample, which can obviously lead to both to the loss of relevant information, violation of the discretization step, and to heterogeneity of the time series. The paper proposes an approach to creating an integrated space of geomagnetic data based on a combination of consolidation and federalization models, including preliminary processing of the original time series with an optionally available procedure for their recovery and verification, focused on the use of cloud computing technologies and hierarchical format and processing speed of large amounts of data and, as a result, providing users with better and more homogeneous data.


2019 ◽  
Vol 99 (23) ◽  
Author(s):  
Lu-Ji Wang ◽  
Xing-Tai Hu ◽  
Lin Li ◽  
Dong-Hui Xu ◽  
Jin-Hua Sun ◽  
...  

2020 ◽  
Vol 15 ◽  
pp. 4
Author(s):  
Viktoria Blavatska

We analyze the properties of population spreading in environments with spatial anisotropy within the frames of a lattice model of asymmetric (biased) random walkers. The expressions for the universal shape characteristics of the instantaneous configuration of population, such as asphericity A and prolateness S are found analytically and proved to be dependent only on the asymmetric transition probabilities in different directions. The model under consideration is shown to capture, in particular, the peculiarities of invasion in presence of an array of oriented tubes (fibers) in the environment.


Sign in / Sign up

Export Citation Format

Share Document