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An Efficient Symmetry-Based Search f...

Karaki, Mohammed.

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An Efficient Symmetry-Based Search for Topological Magnon Materials.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An Efficient Symmetry-Based Search for Topological Magnon Materials./
Author:	Karaki, Mohammed.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	704 p.
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=31341067
ISBN:	9798382604619

An Efficient Symmetry-Based Search for Topological Magnon Materials.
Karaki, Mohammed.

An Efficient Symmetry-Based Search for Topological Magnon Materials. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 704 p.

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

Thesis (Ph.D.)--The Ohio State University, 2023.

Topologically protected magnon surface states are highly desirable as an ideal platform to engineer low-dissipation spintronics devices. However, the theoretical prediction of topological magnons in strongly correlated materials proves to be challenging because the ab initio density functional theory calculations fail to reliably predict magnetic interactions in correlated materials. In this thesis, we present two closely related, symmetry-based approaches, which predict topological magnons in magnetically ordered, spin-orbit coupled crystals, upon applying external perturbations such as magnetic/electric fields and/or mechanical strains.In the first approach, which is detailed in Chapter 3, we propose a semi-automated search strategy. We devise automated filters for candidate materials based on their magnetic space group symmetry and the positions of the magnetic atoms in the unit cell. In the next step, we manually construct concrete spin models to assess the nature of their magnon topology. We apply this approach to carry out a search for magnetic materials in the Bilbao Crystallographic Server, where among 23 electronic insulators with an over 300 K transition temperature, we identify 12 materials that support room temperature topological magnons.In Chapter 4 we develop a different search algorithm with two major advantages over the previous approach. First, the predictions are more robust in the sense that they follow purely from the symmetry properties of the crystal with no additional input on the spin model. Second, the execution of the algorithm can be fully automated, allowing us to circumvent the manual input that introduced a major bottleneck in the previous approach. Upon the application of this algorithm to 407 materials in the BCS database, we find 197 candidates for hosting topological magnon bands.The topological features of the proposed materials include surface magnon arcs, chiral surface magnon states, and 1D hinge magnon modes, offering a route to realize energy-efficient devices based on protected surface magnons.

ISBN: 9798382604619Subjects--Topical Terms:

516296
Physics.
Subjects--Index Terms:

Topological magnons

An Efficient Symmetry-Based Search for Topological Magnon Materials.
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245 1 3 $a An Efficient Symmetry-Based Search for Topological Magnon Materials.
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300 $a 704 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
500 $a Advisor: Lu, Yuan-Ming.
502 $a Thesis (Ph.D.)--The Ohio State University, 2023.
520 $a Topologically protected magnon surface states are highly desirable as an ideal platform to engineer low-dissipation spintronics devices. However, the theoretical prediction of topological magnons in strongly correlated materials proves to be challenging because the ab initio density functional theory calculations fail to reliably predict magnetic interactions in correlated materials. In this thesis, we present two closely related, symmetry-based approaches, which predict topological magnons in magnetically ordered, spin-orbit coupled crystals, upon applying external perturbations such as magnetic/electric fields and/or mechanical strains.In the first approach, which is detailed in Chapter 3, we propose a semi-automated search strategy. We devise automated filters for candidate materials based on their magnetic space group symmetry and the positions of the magnetic atoms in the unit cell. In the next step, we manually construct concrete spin models to assess the nature of their magnon topology. We apply this approach to carry out a search for magnetic materials in the Bilbao Crystallographic Server, where among 23 electronic insulators with an over 300 K transition temperature, we identify 12 materials that support room temperature topological magnons.In Chapter 4 we develop a different search algorithm with two major advantages over the previous approach. First, the predictions are more robust in the sense that they follow purely from the symmetry properties of the crystal with no additional input on the spin model. Second, the execution of the algorithm can be fully automated, allowing us to circumvent the manual input that introduced a major bottleneck in the previous approach. Upon the application of this algorithm to 407 materials in the BCS database, we find 197 candidates for hosting topological magnon bands.The topological features of the proposed materials include surface magnon arcs, chiral surface magnon states, and 1D hinge magnon modes, offering a route to realize energy-efficient devices based on protected surface magnons.
590 $a School code: 0168.
650 4 $a Physics. $3 516296
650 4 $a Engineering. $3 586835
650 4 $a Materials science. $3 543314
650 4 $a Inorganic chemistry. $3 3173556
653 $a Topological magnons
653 $a Perturbations
653 $a Magnetic materials
653 $a Mechanical strains
653 $a BCS database
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690 $a 0488
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690 $a 0537
710 2 $a The Ohio State University. $b Physics. $3 2096699
773 0 $t Dissertations Abstracts International $g 85-11B.
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791 $a Ph.D.
792 $a 2023
793 $a English
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