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Record W7046508674

Development of ab initio characterization tool for Weyl semimetals and thermodynamic stability of kagome Weyl semimetals.

2023· dissertation· en· W7046508674 on OpenAlexfundno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWeyl semimetalBerry connection and curvatureTopology (electrical circuits)SemimetalTopological orderFermi levelGeometric phaseAb initioDirac (video compression format)Density functional theory
DOInot available

Abstract

fetched live from OpenAlex

Topological materials have discovered ultrahigh magnetoresistance, chiral anomalies, the inherent anomalous Hall effect, and unique Fermi arc surface states. Topological materials now include insulators, metals, and semimetals. Weyl semimetals (WSM) are topological materials that show linear dispersion with crossings in their band structure which creates the pair of Weyl nodes of opposite chirality. WSMs have topological Fermi arc surface states connecting opposing chirality Weyl nodes. Spin-orbit coupling can result in the band opening in Dirac nodal rings, and creating the pair of Weyl nodes either by breaking the time-reversal or spatial inversion symmetry (but not both) 1-3. The chirality of a Weyl node is set by the Berry flux through a closed surface in reciprocal space around it. The purpose of this thesis was to characterize and investigate the thermodynamic stability of WSM. To accomplish these goals, quantum mechanical modeling at the level of density functional theory (DFT) was used. WloopPHI, a Python module, integrates the characterization of WSMs into WIEN2k, a full-potential all-electron density functional theory package. It calculates the chirality of the Weyl node (monopole charge) with an enhanced Wilson loop method and Berry phase approach. First, TaAs, a well-characterized Weyl semimetal, validates the code theoretically. We then used the approach to characterize the newly discovered WSM YRh6Ge4, and we found a set of Weyl points into it. Further, we study the stability of the kagome-based materials A3Sn2S2, where A is Co, Rh, or Ru, in the context of the ternary phase diagrams and competing binary compounds using DFT. We demonstrated that Co3Sn2S2 and Rh3Sn2S2 are stable compounds by examining the convex hull and ternary phase diagrams. It is feasible to synthesize Co3Sn2S2 by a chemical reaction between SnS, CoSn and Co9S8. Moreover, Rh3Sn2S2 can be produced by SnS, RhSn and Rh3S4. On the other hand, we found that Ru3Sn2S2 is a thermodynamically unstable material with respect to RuS2, Ru3S7 and Ru. Our work provides some insights for confirming materials using the DFT approach. 1. S. M. Young et al. Dirac Semimetal in Three Dimensions. Physical Review Letters108(14) (2012), 140405. 2. J. Liu and D. Vanderbilt. Weyl semimetals from noncentrosymmetric topological insulators. Physical Review B 90(15) (2014), 155316. 3. H. Weng et al. Weyl Semimetal Phase in Noncentrosymmetric Transition-Metal Monophosphides. Physical Review X 5(1) (2015), 011029.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.217
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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