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of 127
pro vyhledávání: '"Slevin, Keith"'
Autor:
Kakoi, Masataka, Slevin, Keith
Publikováno v:
Phys. Rev. A 109, 033303 (2024)
We investigate, both numerically and analytically, the time evolution of a particle in an initial plane wave state as it is subject to elastic scattering in a two-dimensional disordered system with Rashba spin-orbit coupling (SOC). In the analytic ca
Externí odkaz:
http://arxiv.org/abs/2311.04613
Disorder is ubiquitous in solid-state systems, and its crucial influence on transport properties was revealed by the discovery of Anderson localization. Generally speaking, all bulk states will be exponentially localized in the strong disorder limit,
Externí odkaz:
http://arxiv.org/abs/2307.02864
We demonstrate that an image recognition algorithm based on a convolutional neural network provides a powerful procedure to differentiate between ergodic, non-ergodic extended (fractal) and localized phases in various systems: single-particle models,
Externí odkaz:
http://arxiv.org/abs/2306.01402
Autor:
Slevin, Keith, Ohtsuki, Tomi
Publikováno v:
Phys. Status Solidi RRL 2023, 17, 2300080
The quantum Hall effect is one of the most extensively studied topological effects in solid state physics. The transitions between different quantum Hall states exhibit critical phenomena described by universal critical exponents. Numerous numerical
Externí odkaz:
http://arxiv.org/abs/2304.06223
Autor:
Kakoi, Masataka, Slevin, Keith
Publikováno v:
J. Phys. Soc. Jpn. 92, 054707 (2023)
The $L^2$ localisation landscape of L. Herviou and J. H. Bardarson is a generalisation of the localisation landscape of M. Filoche and S. Mayboroda. We propose a stochastic method to compute the $L^2$ localisation landscape that enables the calculati
Externí odkaz:
http://arxiv.org/abs/2212.10768
Publikováno v:
J. Phys. Soc. Jpn. 90, 094001 (2021)
Machine learning has recently been applied to many problems in condensed matter physics. A common point of many proposals is to save computational cost by training the machine with data from a simple example and then using the machine to make predict
Externí odkaz:
http://arxiv.org/abs/2009.02987
Publikováno v:
Eur. Phys. J. B (2019) 92: 281
Using numerical simulations, we investigate the distribution of Kondo temperatures at the Anderson transition. In agreement with previous work, we find that the distribution has a long tail at small Kondo temperatures. Recently, an approximation for
Externí odkaz:
http://arxiv.org/abs/1910.00917
Autor:
Slevin, Keith, Ohtsuki, Tomi
Publikováno v:
Journal of the Physical Society of Japan 87, 094703 (2018)
To date the most precise estimations of the critical exponent for the Anderson transition have been made using the transfer matrix method. This method involves the simulation of extremely long quasi one-dimensional systems. The method is inherently s
Externí odkaz:
http://arxiv.org/abs/1805.11781
Autor:
Ueoka, Yoshiki, Slevin, Keith
Publikováno v:
Journal of the Physical Society of Japan 86, 094707 (2017)
We describe a Borel-Pad\'e re-summation of the $\beta$-function in the three Wigner-Dyson symmetry classes. Using this approximate $\beta$-function we discuss the dimensional dependence of the critical exponent and compare with numerical estimates. W
Externí odkaz:
http://arxiv.org/abs/1708.00152
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