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Record W2809864770 · doi:10.1039/c8cp02763c

Defects in orthorhombic LaMnO<sub>3</sub> – ionic <i>versus</i> electronic compensation

2018· article· en· W2809864770 on OpenAlexaff
Ailbhe L. Gavin, Graeme W. Watson

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2018
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsTrinity College
FundersTrinity College DublinScience Foundation IrelandHigher Education Authority
KeywordsOrthorhombic crystal systemIonic bondingCompensation (psychology)Materials scienceCondensed matter physicsCrystallographyChemistryIonCrystal structurePhysicsPsychology

Abstract

fetched live from OpenAlex

The ionic and electronic conductivity of orthorhombic LaMnO3 can be modified by introducing lower valence dopants at both the La and Mn sites. Alkaline earth doped perovskites, such as LaMnO3, have a variety of applications in catalysis, for nitrogen storage and reduction, and oxidation of volatile organic compounds, and as the oxygen electrode in solid oxide fuel cells. Here, we investigate doping with the divalent alkaline earth metals Mg, Ca, Sr and Ba, and the charge compensation mechanism. The energies of formation of isolated defects and clustered pairs were investigated at both La and Mn sites to establish the most probable site at which they will be introduced. The charge compensation mechanism for the introduction of alkaline earth dopants was examined by considering both ionic (formation of an oxygen vacancy for every two alkaline earth dopants introduced) and electronic compensation (a hole localised at the Mn site for each dopant introduced). Larger cations (Ca, Sr and Ba) were found to have lower defect formation energies when introduced at the La site, while the smaller Mg defect had lower formation energies when introduced to the Mn site. For all defects introduced, electronic compensation for the defect was found to be more energetically favourable, which will result in improved electronic conductivity of the material.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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 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

Citations6
Published2018
Admission routes1
Has abstractyes

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