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Engineering coexistence between free and trapped carriers via extrinsic polarons

2022· article· en· W4310141808 on OpenAlexafffund
Shuaishuai Yuan, Kirk H. Bevan

Bibliographic record

VenuePhysical Review Materials · 2022
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDelocalized electronPolaronDopantMaterials scienceCondensed matter physicsAb initioDopingElectronic structureAb initio quantum chemistry methodsChemical physicsPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

The transition between delocalized and localized electronic configurations is a characteristic property of all small-polaron systems. In this study, we explore a doping approach by which the coexistence between delocalized and localized electronic states may be precisely tuned within extrinsic polaron systems. Through comprehensive ab initio calculations employing hybrid functionals, for which Ti-doped ${\mathrm{SnO}}_{2}$ is selected as a model system, it is demonstrated how strain and alloying can be utilized to achieve a high degree of control over the activation energetics separating localized and delocalized electronic states. By means of a phenomenological tight-binding analysis of our ab initio results, it is shown that two physical parameters play a dominant role in the associated transition physics: (1) the dopant electronic offset ${\mathrm{\ensuremath{\Delta}}}_{a}$, and (2) the dopant bandwidth $W$. Overall, this study presents an exciting route toward tailoring the coexistence between delocalized and localized states with a potentially much greater degree of control than is currently possible in intrinsic materials.

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)0.001
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 score0.077
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.269
Teacher spread0.241 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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