Modeling of Magnetic Films: A Scientific Perspective
dc.contributor.author | Misiurev, Denis | cs |
dc.contributor.author | Holcman, VladimĂr | cs |
dc.coverage.issue | 6 | cs |
dc.coverage.volume | 17 | cs |
dc.date.accessioned | 2024-04-24T08:45:44Z | |
dc.date.available | 2024-04-24T08:45:44Z | |
dc.date.issued | 2024-03-21 | cs |
dc.description.abstract | Magnetic thin-film modeling stands as a dynamic nexus of scientific inquiry and technological advancement, poised at the vanguard of materials science exploration. Leveraging a diverse suite of computational methodologies, including Monte Carlo simulations and molecular dynamics, researchers meticulously dissect the intricate interplay governing magnetism and thin-film growth across heterogeneous substrates. Recent strides, notably in multiscale modeling and machine learning paradigms, have engendered a paradigm shift in predictive capabilities, facilitating a nuanced understanding of thin-film dynamics spanning disparate spatiotemporal regimes. This interdisciplinary synergy, complemented by avantgarde experimental modalities such as in situ microscopy, promises a tapestry of transformative advancements in magnetic materials with far-reaching implications across multifaceted domains including magnetic data storage, spintronics, and magnetic sensing technologies. The confluence of computational modeling and experimental validation heralds a new era of scientific rigor, affording unparalleled insights into the real-time dynamics of magnetic films and bolstering the fidelity of predictive models. As researchers chart an ambitiously uncharted trajectory, the burgeoning realm of magnetic thin-film modeling burgeons with promise, poised to unlock novel paradigms in materials science and engineering. Through this intricate nexus of theoretical elucidation and empirical validation, magnetic thin-film modeling heralds a future replete with innovation, catalyzing a renaissance in technological possibilities across diverse industrial landscapes. | en |
dc.format | text | cs |
dc.format.extent | 1-32 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | Materials . 2024, vol. 17, issue 6, p. 1-32. | en |
dc.identifier.doi | 10.3390/ma17061436 | cs |
dc.identifier.issn | 1996-1944 | cs |
dc.identifier.orcid | 0000-0001-7402-4660 | cs |
dc.identifier.other | 188410 | cs |
dc.identifier.researcherid | E-2366-2012 | cs |
dc.identifier.scopus | 25928429400 | cs |
dc.identifier.uri | https://hdl.handle.net/11012/245299 | |
dc.language.iso | en | cs |
dc.publisher | MDPI | cs |
dc.relation.ispartof | Materials | cs |
dc.relation.uri | https://www.mdpi.com/1996-1944/17/6/1436 | cs |
dc.rights | Creative Commons Attribution 4.0 International | cs |
dc.rights.access | openAccess | cs |
dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/1996-1944/ | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | Magnetic films | en |
dc.subject | substrates | en |
dc.subject | first-principles calculation | en |
dc.subject | density functional theory | en |
dc.subject | electronic structure | en |
dc.subject | molecular dynamics simulations | en |
dc.subject | interface phenomena | en |
dc.subject | Monte Carlo simulation | en |
dc.title | Modeling of Magnetic Films: A Scientific Perspective | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
sync.item.dbid | VAV-188410 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2024.04.24 10:45:43 | en |
sync.item.modts | 2024.04.15 10:14:00 | en |
thesis.grantor | VysokĂ© uÄŤenĂ technickĂ© v BrnÄ›. Fakulta elektrotechniky a komunikaÄŤnĂch technologiĂ. Ăšstav fyziky | cs |
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