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Spin Texture Formation in Perovskite...
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Sasaki, Dayne Yoshiki,
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Spin Texture Formation in Perovskite-Based Artificial Spin Ice Structures /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Spin Texture Formation in Perovskite-Based Artificial Spin Ice Structures // Dayne Yoshiki Sasaki.
Author:
Sasaki, Dayne Yoshiki,
Description:
1 electronic resource (156 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:
Dissertations Abstracts International85-11B.
Subject:
Physics. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30996528
ISBN:
9798382607498
Spin Texture Formation in Perovskite-Based Artificial Spin Ice Structures /
Sasaki, Dayne Yoshiki,
Spin Texture Formation in Perovskite-Based Artificial Spin Ice Structures /
Dayne Yoshiki Sasaki. - 1 electronic resource (156 pages)
Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Artificial spin ices (ASIs) are lithographically-patterned arrays of interacting magnetic nanoislands which have traditionally been designed such that each nanoisland possesses an Ising-like magnetic configuration (i.e., behaves as a bar magnet). These systems were originally introduced as an engineered analog of spin-ice crystals whose atomic-level magnetic ordering could be emulated and visualized with conventional magnetic microscopy techniques. Since this initial study, ASIs have served as a platform for designing and investigating phenomena including phase transitions between different global magnetic ordering states, magnetically-reconfigurable spin wave dynamics, and computation in nanomagnet-based devices.Many ASI studies have used Ni80Fe20-based nanoislands whose material and geometric properties enforce the formation of uniform, Ising-like magnetizations in each nanoisland. While these systems have facilitated the investigation of magnetic ordering phenomena in various array geometries, ASIs fabricated from ferromagnetic complex oxides offer opportunities to explore how the nanoisland material properties and magnetostatic interactions can influence the behavior of the individual nanoislands and ASI as a whole. Understanding how these magnetic parameters can tailor the nanoisland functionalities will be essential in the development of nanomagnet-based computing devices.This dissertation focuses on ASIs fabricated from the ferromagnetic perovskite oxide La0.7Sr0.3MnO3 (LSMO) to understand how the interaction between magnetostatically-coupled nanostructures can influence the formation of spin textures. Soft x-ray photoemission electron microscopy (X-PEEM) was used to perform magnetic domain imaging of LSMO-based ASIs. Through these imaging studies, these systems were observed to allow the formation of both Ising states, observed in traditional ASI systems, as well as complex spin textures (CSTs), comprised of single and double vortices. The formation of these different spin texture states were found to be sensitive to the ASI geometry as well as the magnetization of the neighboring nanoislands. Through the use of micromagnetic simulations, an energetic analysis of the system was performed which revealed how spin texture formation arises from a competition between effects intrinsic to each nanoisland as well as the magnetostatic interaction between adjacent nanoislands. This competition is facilitated by the unique combination of magnetic material properties of LSMO.The unusual domains stabilized in LSMO-based ASIs also raises the question of the relaxation kinetics of CST-bearing ASI systems. Insights into the thermal relaxation behavior of LSMO-based ASIs was provided using X-PEEM and an in-situ pulsed annealing protocol which allows for "snapshots" of the time-dependent relaxation to be acquired. By tracking the domain changes in each nanoisland as a function of the annealing time, several types of apparent domain conversion were observed whose relative transformation rates evolved over time. These results suggest that the domain formation kinetics of each individual nanoisland is sensitive to the evolving magnetizations of the neighboring nanoislands.These static and dynamic studies of LSMO-based ASIs demonstrate how magnetostatic interactions can be used to tailor spin texture formations in these systems. Moreover, this work highlights the potential for material-driven ASI studies to provide deeper insights into ASI and domain formation physics.
English
ISBN: 9798382607498Subjects--Topical Terms:
516296
Physics.
Subjects--Index Terms:
Spin texture
Spin Texture Formation in Perovskite-Based Artificial Spin Ice Structures /
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Artificial spin ices (ASIs) are lithographically-patterned arrays of interacting magnetic nanoislands which have traditionally been designed such that each nanoisland possesses an Ising-like magnetic configuration (i.e., behaves as a bar magnet). These systems were originally introduced as an engineered analog of spin-ice crystals whose atomic-level magnetic ordering could be emulated and visualized with conventional magnetic microscopy techniques. Since this initial study, ASIs have served as a platform for designing and investigating phenomena including phase transitions between different global magnetic ordering states, magnetically-reconfigurable spin wave dynamics, and computation in nanomagnet-based devices.Many ASI studies have used Ni80Fe20-based nanoislands whose material and geometric properties enforce the formation of uniform, Ising-like magnetizations in each nanoisland. While these systems have facilitated the investigation of magnetic ordering phenomena in various array geometries, ASIs fabricated from ferromagnetic complex oxides offer opportunities to explore how the nanoisland material properties and magnetostatic interactions can influence the behavior of the individual nanoislands and ASI as a whole. Understanding how these magnetic parameters can tailor the nanoisland functionalities will be essential in the development of nanomagnet-based computing devices.This dissertation focuses on ASIs fabricated from the ferromagnetic perovskite oxide La0.7Sr0.3MnO3 (LSMO) to understand how the interaction between magnetostatically-coupled nanostructures can influence the formation of spin textures. Soft x-ray photoemission electron microscopy (X-PEEM) was used to perform magnetic domain imaging of LSMO-based ASIs. Through these imaging studies, these systems were observed to allow the formation of both Ising states, observed in traditional ASI systems, as well as complex spin textures (CSTs), comprised of single and double vortices. The formation of these different spin texture states were found to be sensitive to the ASI geometry as well as the magnetization of the neighboring nanoislands. Through the use of micromagnetic simulations, an energetic analysis of the system was performed which revealed how spin texture formation arises from a competition between effects intrinsic to each nanoisland as well as the magnetostatic interaction between adjacent nanoislands. This competition is facilitated by the unique combination of magnetic material properties of LSMO.The unusual domains stabilized in LSMO-based ASIs also raises the question of the relaxation kinetics of CST-bearing ASI systems. Insights into the thermal relaxation behavior of LSMO-based ASIs was provided using X-PEEM and an in-situ pulsed annealing protocol which allows for "snapshots" of the time-dependent relaxation to be acquired. By tracking the domain changes in each nanoisland as a function of the annealing time, several types of apparent domain conversion were observed whose relative transformation rates evolved over time. These results suggest that the domain formation kinetics of each individual nanoisland is sensitive to the evolving magnetizations of the neighboring nanoislands.These static and dynamic studies of LSMO-based ASIs demonstrate how magnetostatic interactions can be used to tailor spin texture formations in these systems. Moreover, this work highlights the potential for material-driven ASI studies to provide deeper insights into ASI and domain formation physics.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30996528
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