001     201878
005     20230426083125.0
024 7 _ |2 doi
|a 10.1103/PhysRevB.89.134403
024 7 _ |2 ISSN
|a 0163-1829
024 7 _ |2 ISSN
|a 0556-2805
024 7 _ |2 ISSN
|a 1095-3795
024 7 _ |2 ISSN
|a 1098-0121
024 7 _ |2 ISSN
|a 1550-235X
024 7 _ |2 Handle
|a 2128/8876
024 7 _ |2 Handle
|a 2128/8875
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037 _ _ |a FZJ-2015-04172
041 _ _ |a English
082 _ _ |a 530
100 1 _ |0 P:(DE-Juel1)130503
|a Andreas, Christian
|b 0
|e Corresponding Author
245 _ _ |a Multiscale and multimodel simulation of Bloch-point dynamics
260 _ _ |a College Park, Md.
|b APS
|c 2014
336 7 _ |a Journal Article
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520 _ _ |a We present simulation results on the structure and dynamics of micromagnetic point singularities with atomistic resolution. This is achieved by embedding an atomistic computational region into a standard micromagnetic algorithm. Several length scales are bridged by means of an adaptive mesh refinement and a seamless coupling between the continuum theory and a Heisenberg formulation for the atomistic region. The code operates on graphical processing units and is able to detect and track the position of strongly inhomogeneous magnetic regions. This enables us to reliably simulate the dynamics of Bloch points, which means that a fundamental class of micromagnetic switching processes can be analyzed with unprecedented accuracy. We test the code by comparing it with established results and present its functionality with the example of a simulated field-driven Bloch-point motion in a soft-magnetic cylinder.
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542 _ _ |i 2014-04-03
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700 1 _ |0 P:(DE-Juel1)130709
|a Hertel, Riccardo
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773 1 8 |a 10.1103/physrevb.89.134403
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773 _ _ |a 10.1103/PhysRevB.89.134403
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|v Controlling Spin-Based Phenomena
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914 1 _ |y 2015
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