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Original title:
Modelling of Magnetic Films: A Scientific Perspectives
Authors: Misiurev, Denis ; Vladimír, Holcman
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: Modeling magnetic thin films represents a dynamic intersection of scientific inquiry and technological progress, at the forefront of materials science exploration. Researchers use various computational methods, such as Monte Carlo simulations and molecular dynamics, to understand magnetism and thin-film growth on different surfaces. Recent advancements in multiscale modeling and machine learning have improved predictive abilities, leading to a better understanding of thin-film dynamics over different spatial and temporal scales. This interdisciplinary approach, coupled with advanced experimental techniques like in situ microscopy, promises significant advancements in magnetic materials. These advancements have wide-ranging implications in areas such as magnetic data storage, spintronics, and magnetic sensors. The integration of computational modeling and experimental validation marks a new era of scientific rigor, providing deep insights into the real-time behavior of magnetic films and enhancing the accuracy of predictive models. As researchers navigate unexplored territory, the field of magnetic thin-film modeling holds great promise for unlocking new possibilities in materials science and engineering. Through a combination of theoretical exploration and empirical validation, magnetic thin-film modeling is poised to drive innovation and revolutionize various industries in the future.
Keywords: Magnetic films; substrates; first–principles calculation; density functional theory; electronic structure; molecular dynamics simulations; interface phenomena; Monte Carlo simulation
Host item entry: Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers, ISBN 978-80-214-6231-1, ISSN 2788-1334
Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/249269
Permalink: http://www.nusl.cz/ntk/nusl-622614
The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
Authors: Misiurev, Denis ; Vladimír, Holcman
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: Modeling magnetic thin films represents a dynamic intersection of scientific inquiry and technological progress, at the forefront of materials science exploration. Researchers use various computational methods, such as Monte Carlo simulations and molecular dynamics, to understand magnetism and thin-film growth on different surfaces. Recent advancements in multiscale modeling and machine learning have improved predictive abilities, leading to a better understanding of thin-film dynamics over different spatial and temporal scales. This interdisciplinary approach, coupled with advanced experimental techniques like in situ microscopy, promises significant advancements in magnetic materials. These advancements have wide-ranging implications in areas such as magnetic data storage, spintronics, and magnetic sensors. The integration of computational modeling and experimental validation marks a new era of scientific rigor, providing deep insights into the real-time behavior of magnetic films and enhancing the accuracy of predictive models. As researchers navigate unexplored territory, the field of magnetic thin-film modeling holds great promise for unlocking new possibilities in materials science and engineering. Through a combination of theoretical exploration and empirical validation, magnetic thin-film modeling is poised to drive innovation and revolutionize various industries in the future.
Keywords: Magnetic films; substrates; first–principles calculation; density functional theory; electronic structure; molecular dynamics simulations; interface phenomena; Monte Carlo simulation
Host item entry: Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers, ISBN 978-80-214-6231-1, ISSN 2788-1334
Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/249269
Permalink: http://www.nusl.cz/ntk/nusl-622614
The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
Record created 2024-07-21, last modified 2024-07-21