Zobrazeno 1 - 10
of 201
pro vyhledávání: '"MAUSER, NORBERT J."'
Autor:
Zenbaa, Noura, Majcen, Fabian, Abert, Claas, Bruckner, Florian, Mauser, Norbert J., Schrefl, Thomas, Wang, Qi, Suess, Dieter, Chumak, Andrii V.
Magnonic logic gates represent a crucial step toward realizing fully magnonic data processing systems without reliance on conventional electronic or photonic elements. Recently, a universal and reconfigurable inverse-design device has been developed,
Externí odkaz:
http://arxiv.org/abs/2411.17546
In this work, we explore advanced machine learning techniques for minimizing Gibbs free energy in full 3D micromagnetic simulations. Building on Brown's bounds for magnetostatic self-energy, we revisit their application in the context of variational
Externí odkaz:
http://arxiv.org/abs/2409.12877
We consider the cubic nonlinear Schr\"odinger equation with a spatially rough potential, a key equation in the mathematical setup for nonlinear Anderson localization. Our study comprises two main parts: new optimal results on the well-posedness analy
Externí odkaz:
http://arxiv.org/abs/2403.16772
The self-consistent Pauli-Poisswell equation for 2-spinors is the first order in $1/c$ semi-relativistic approximation of the Dirac-Maxwell equation for 4-spinors coupled to the self-consistent electromagnetic fields generated by the density and curr
Externí odkaz:
http://arxiv.org/abs/2304.06660
Autor:
Möller, Jakob, Mauser, Norbert J.
We present the self-consistent Pauli equation, a semi-relativistic model for charged spin-$1/2$-particles with self-interaction with the electromagnetic field. The Pauli equation arises as the $O(1/c)$ approximation of the relativistic Dirac equation
Externí odkaz:
http://arxiv.org/abs/2304.03091
We consider the expansion of wave packets governed by the free Schr\"odinger equation. This seemingly simple task plays an important role in simulations of various quantum experiments and in particular in the field of matter-wave interferometry. The
Externí odkaz:
http://arxiv.org/abs/2303.09464
Autor:
Schaffer, Sebastian, Schrefl, Thomas, Oezelt, Harald, Kovacs, Alexander, Breth, Leoni, Mauser, Norbert J., Suess, Dieter, Exl, Lukas
We study the full 3d static micromagnetic equations via a physics-informed neural network (PINN) ansatz for the continuous magnetization configuration. PINNs are inherently mesh-free and unsupervised learning models. In our approach we can learn to m
Externí odkaz:
http://arxiv.org/abs/2301.13508
Publikováno v:
Journal of Computational Physics 493, 112431 (2023)
"Generalized Hydrodynamics" (GHD) stands for a model that describes one-dimensional \textit{integrable} systems in quantum physics, such as ultra-cold atoms or spin chains. Mathematically, GHD corresponds to nonlinear equations of kinetic type, where
Externí odkaz:
http://arxiv.org/abs/2212.12349
Autor:
Wang, Qi, Verba, Roman, Heinz, Björn, Schneider, Michael, Wojewoda, Ondřej, Davídková, Kristýna, Levchenko, Khrystyna, Dubs, Carsten, Mauser, Norbert J., Urbánek, Michal, Pirro, Philipp, Chumak, Andrii V.
Spin waves are ideal candidates for wave-based computing, but the construction of magnetic circuits is blocked by a lack of an efficient mechanism to excite long-running exchange spin waves with normalised amplitudes. Here, we solve the challenge by
Externí odkaz:
http://arxiv.org/abs/2207.01121
Generalized Hydrodynamics (GHD) has recently been devised as a method to solve the dynamics of integrable quantum many-body systems beyond the mean-field approximation. In its original form, a major limitation is the inability to predict equal-time c
Externí odkaz:
http://arxiv.org/abs/2205.15871