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Modelling long-rang...
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Arjmand, DoghonayMälardalens högskola,Utbildningsvetenskap och Matematik,Ecole polytechnique f´ed´erale de Lausanne, Switzerland,MAM
(author)
Modelling long-range interactions in multiscale simulations of ferromagnetic materials
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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2020-01-29
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New York :Springer,2020
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LIBRIS-ID:oai:DiVA.org:mdh-45334
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https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45334URI
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https://doi.org/10.1007/s10444-020-09747-5DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-407450URI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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Atomistic-continuum multiscale modelling is becoming an increasingly popular tool for simulating the behaviour of materials due to its computational efficiency and reliable accuracy. In the case of ferromagnetic materials, the atomistic approach handles the dynamics of spin magnetic moments of individual atoms, while the continuum approximations operate with volume-averaged quantities, such as magnetisation. One of the challenges for multiscale models in relation to physics of ferromagnets is the existence of the long-range dipole-dipole interactions between spins. The aim of the present paper is to demonstrate a way of including these interactions into existing atomistic-continuum coupling methods based on the partitioned-domain and the upscaling strategies. This is achieved by modelling the demagnetising field exclusively at the continuum level and coupling it to both scales. Such an approach relies on the atomistic expression for the magnetisation field converging to the continuum expression when the interatomic spacing approaches zero, which is demonstrated in this paper.
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Poluektov, MikhailUniversity of Warwick, Coventry, UK(Swepub:uu)mikpo815
(author)
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Kreiss, GunillaUppsala universitet,Avdelningen för beräkningsvetenskap,Numerisk analys(Swepub:uu)gukre227
(author)
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Mälardalens högskolaUtbildningsvetenskap och Matematik
(creator_code:org_t)
Related titles
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In:Advances in Computational MathematicsNew York : Springer46:11019-71681572-9044
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