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Record W4404374409 · doi:10.1038/s41598-024-77804-w

Exfoliation and optical properties of S = 1 triangular lattice antiferromagnet NiGa2S4

2024· article· en· W4404374409 on OpenAlexaff
Jazzmin Victorin, Aleksandar Razpopov, Tomoya Higo, Reynolds Dziobek-Garrett, Thomas J. Kempa, Satoru Nakatsuji, Roser Valentí, Natalia Drichko

Bibliographic record

VenueScientific Reports · 2024
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsCanadian Institute for Advanced Research
FundersArmy Research OfficeJST-Mirai ProgramBasic Energy SciencesDefense Advanced Research Projects AgencyDivision of Materials ResearchOffice of ScienceAchievement Rewards for College Scientists FoundationDeutsche ForschungsgemeinschaftU.S. Department of EnergyNational Science FoundationJoseph C. Monastra Foundation for Pancreatic Cancer ResearchAdvanced Research Projects Agency
KeywordsAntiferromagnetismHexagonal latticeCondensed matter physicsLattice (music)Exfoliation jointMaterials sciencePhysicsNanotechnologyGrapheneAcoustics

Abstract

fetched live from OpenAlex

Two-dimensional (2D) van der Waals (vdW) materials have been an exciting area of research ever since scientists first isolated a single layer of graphene. Single layer magnetic materials can provide a pathway for vdW heterostructures with magnetic properties. While most of the magnetic vdW materials exhibit ordering transitions in the bulk, here we report a successful exfoliation of a triangular lattice S = 1 antiferromagnet NiGa[Formula: see text]S[Formula: see text], which already demonstrates exotic magnetism in the bulk material. We establish the number of layers of the material by atomic force microscopy (AFM) and detail a careful characterization using Raman and optical spectroscopy to demonstrate how the optical, electronic, and structural properties of NiGa[Formula: see text]S[Formula: see text] change as a function of sample thickness. Optical measurements and electronic structure calculations of bulk versus monolayer NiGa[Formula: see text]S[Formula: see text] confirm the material to be a Mott insulator with an electronic gap of about 1.5 eV, which slightly increases for layers below 10 L. We conclude with a theoretical analysis of the possibility of doping monolayer NiGa[Formula: see text]S[Formula: see text] by proximity to a metal.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.249
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations3
Published2024
Admission routes1
Has abstractyes

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