Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Matthias Sitte"'
Publikováno v:
AIP Advances, Vol 8, Iss 5, Pp 055602-055602-9 (2018)
Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loops to generate a memory functionality. The Reservoir Computing paradigm
Externí odkaz:
https://doaj.org/article/c4601f96e0674622a6a3566a385894f4
Publikováno v:
New Journal of Physics, Vol 19, Iss 9, p 092001 (2017)
Topological magnetic textures—like skyrmions—are major players in the design of next-generation magnetic storage technology due to their stability and the control of their motion by ultra-low currents. A major challenge to develop new skyrmion-ba
Externí odkaz:
https://doaj.org/article/81adf0fc91cb4d9d8f3282f440f5429e
Autor:
Mathias Kläui, Karin Everschor-Sitte, Diana Prychynenko, Kai Litzius, Matthias Sitte, Benjamin Krüger, Jairo Sinova, George I. Bourianoff
Inspired by the human brain, there is a strong effort to find alternative models of information processing capable of imitating the high energy efficiency of neuromorphic information processing. One possible realization of cognitive computing are res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe37fc576f9749ed4a0824796ce19b3b
Autor:
Karin Everschor-Sitte, Thierry Valet, Davi R. Rodrigues, Ar. Abanov, Jairo Sinova, Matthias Sitte
Publikováno v:
Physical Review B. 94
We predict the electrical generation and injection of domain walls into a ferromagnetic nano-wire without the need of an assisting magnetic field. Our analytical and numerical results show that above a critical current $j_{c}$ domain walls are inject
Publikováno v:
AIP Advances, Vol 8, Iss 5, Pp 055602-055602-9 (2018)
Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loops to generate a memory functionality. The Reservoir Computing paradigm
When time-reversal symmetry is weakly broken and interactions are neglected, the surface of a $Z_{2}$ topological insulator supports a half-quantized Hall conductivity $\sigma_{S} = e^{2}/(2h)$. A surface Hall conductivity in an insulator is equivale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eadb72a58bdf780a13274bad10b387b
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=84952342715
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=84952342715
We use a previously proposed theory for the temperature dependence of tunneling magnetoresistance to shed light on ongoing efforts to optimize spin valves. First we show that a mechanism in which spin valve performance at finite temperatures is limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d223e2cdb0df902aa781d2389fb0c258
Publikováno v:
Web of Science
We investigate how a magnetic field induces one-dimensional edge channels when the two-dimensional surface states of three-dimensional topological insulators become gapped. The Hall effect, measured by contacting those channels, remains quantized eve
Publikováno v:
Physical Review Letters. 102
We consider a quantum wire with two subbands of spin-polarized electrons in the presence of strong interactions. We focus on the quantum phase transition when the second subband starts to get filled as a function of gate voltage. Performing a one-loo
Autor:
Matthias Sitte, Karin Everschor-Sitte
Publikováno v:
Journal of Applied Physics. 115:172602
Berry phases occur when a system adiabatically evolves along a closed curve in parameter space. This tutorial-like article focuses on Berry phases accumulated in real space. In particular, we consider the situation where an electron traverses a smoot