Relevant bibliographies by topics / Micromagnetic solver

Academic literature on the topic 'Micromagnetic solver'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Micromagnetic solver"

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Shaojing Li, Boris Livshitz, and Vitaliy Lomakin. "Graphics Processing Unit Accelerated $O(N)$ Micromagnetic Solver." IEEE Transactions on Magnetics 46, no. 6 (June 2010): 2373–75. http://dx.doi.org/10.1109/tmag.2010.2043504.

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Ferrero, Riccardo, and Alessandra Manzin. "Adaptive geometric integration applied to a 3D micromagnetic solver." Journal of Magnetism and Magnetic Materials 518 (January 2021): 167409. http://dx.doi.org/10.1016/j.jmmm.2020.167409.

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Manzin, Alessandra, and Riccardo Ferrero. "A 2.5D micromagnetic solver for randomly distributed magnetic thin objects." Journal of Magnetism and Magnetic Materials 492 (December 2019): 165649. http://dx.doi.org/10.1016/j.jmmm.2019.165649.

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Bottauscio, O., and A. Manzin. "Parallelized micromagnetic solver for the efficient simulation of large patterned magnetic nanostructures." Journal of Applied Physics 115, no. 17 (May 7, 2014): 17D122. http://dx.doi.org/10.1063/1.4862379.

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Couture, S., X. Wang, A. Goncharov, and V. Lomakin. "A coupled micromagnetic-Maxwell equations solver based on the finite element method." Journal of Magnetism and Magnetic Materials 493 (January 2020): 165672. http://dx.doi.org/10.1016/j.jmmm.2019.165672.

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Venugopal, Aneesh, Tao Qu, and R. H. Victora. "Parallel Computations Based Micromagnetic Solver and Analysis Tools for Magnon-Microwave Interaction Studies." IEEE Journal on Multiscale and Multiphysics Computational Techniques 6 (2021): 239–48. http://dx.doi.org/10.1109/jmmct.2022.3144432.

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Manzin, Alessandra, and Oriano Bottauscio. "A Micromagnetic Solver for Large-Scale Patterned Media Based on Non-Structured Meshing." IEEE Transactions on Magnetics 48, no. 11 (November 2012): 2789–92. http://dx.doi.org/10.1109/tmag.2012.2195648.

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Lopez-Diaz, L., J. Eicke, and E. Della Torre. "A comparison of micromagnetic solvers." IEEE Transactions on Magnetics 35, no. 3 (May 1999): 1207–10. http://dx.doi.org/10.1109/20.767166.

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Scholz, Werner, Josef Fidler, Thomas Schrefl, Dieter Suess, Rok Dittrich, Hermann Forster, and Vassilios Tsiantos. "Scalable parallel micromagnetic solvers for magnetic nanostructures." Computational Materials Science 28, no. 2 (October 2003): 366–83. http://dx.doi.org/10.1016/s0927-0256(03)00119-8.

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Fu, Sidi, Weilong Cui, Matthew Hu, Ruinan Chang, Michael J. Donahue, and Vitaliy Lomakin. "Finite-Difference Micromagnetic Solvers With the Object-Oriented Micromagnetic Framework on Graphics Processing Units." IEEE Transactions on Magnetics 52, no. 4 (April 2016): 1–9. http://dx.doi.org/10.1109/tmag.2015.2503262.

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Dissertations / Theses on the topic "Micromagnetic solver"

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Shepherd, David. "Numerical methods for dynamic micromagnetics." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/numerical-methods-for-dynamic-micromagnetics(e8c5549b-7cf7-44af-8191-5244a491d690).html.

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Micromagnetics is a continuum mechanics theory of magnetic materials widely used in industry and academia. In this thesis we describe a complete numerical method, with a number of novel components, for the computational solution of dynamic micromagnetic problems by solving the Landau-Lifshitz-Gilbert (LLG) equation. In particular we focus on the use of the implicit midpoint rule (IMR), a time integration scheme which conserves several important properties of the LLG equation. We use the finite element method for spatial discretisation, and use nodal quadrature schemes to retain the conservation properties of IMR despite the weak-form approach. We introduce a novel, generally-applicable adaptive time step selection algorithm for the IMR. The resulting scheme selects error-appropriate time steps for a variety of problems, including the semi-discretised LLG equation. We also show that it retains the conservation properties of the fixed step IMR for the LLG equation. We demonstrate how hybrid FEM/BEM magnetostatic calculations can be coupled to the LLG equation in a monolithic manner. This allows the coupled solver to maintain all properties of the standard time integration scheme, in particular stability properties and the energy conservation property of IMR. We also develop a preconditioned Krylov solver for the coupled system which can efficiently solve the monolithic system provided that an effective preconditioner for the LLG sub-problem is available. Finally we investigate the effect of the spatial discretisation on the comparative effectiveness of implicit and explicit time integration schemes (i.e. the stiffness). We find that explicit methods are more efficient for simple problems, but for the fine spatial discretisations required in a number of more complex cases implicit schemes become orders of magnitude more efficient.
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Book chapters on the topic "Micromagnetic solver"

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Michels, Andreas. "Basics of Static Micromagnetism." In Magnetic Small-Angle Neutron Scattering, 87–113. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198855170.003.0003.

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Chapter 3 introduces the continuum expressions for the magnetic energy contributions, which are employed for describing the mesoscale magnetic microstructure of magnetic materials. It is then shown how the static equations of micromagnetics, the so-called Brown's equations, can be solved in the high-field regime and how the Fourier components of the magnetization are related to the magnetic SANS cross section.
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Conference papers on the topic "Micromagnetic solver"

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Marukhin, A. O., E. B. Kulbatsky, V. V. Savin, L. A. Savina, A. V. Osadchy, I. S. Zherebtsov, and V. A. Chaika. "Application of laser processing for powder materials of alloys of the Fe-Nd-B system to create a micromagnetic system." In PROCEEDINGS OF THE 10TH WORKSHOP ON METALLIZATION AND INTERCONNECTION FOR CRYSTALLINE SILICON SOLAR CELLS. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0105559.

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