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Record W4253221484 · doi:10.26434/chemrxiv.7275704

Deposition Study of Indium Trisguanidinate as a Possible Indium Nitride Precursor

2018· preprint· en· W4253221484 on OpenAlexaff
Polla Rouf, Nathan J. O’Brien, Sydney C. Buttera, Seán T. Barry, Henrik Pedersen

Bibliographic record

VenueChemRxiv · 2018
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsCarleton University
FundersKnut och Alice Wallenbergs StiftelseLinköpings UniversitetStiftelsen för Strategisk ForskningWenner-Gren Stiftelserna
KeywordsX-ray photoelectron spectroscopyIndiumChemical vapor depositionDeposition (geology)CrystalliteMaterials scienceNitrideAnalytical Chemistry (journal)Thermal stabilityChemistryCrystallographyNanotechnologyLayer (electronics)MetallurgyNuclear magnetic resonancePhysics

Abstract

fetched live from OpenAlex

<p>A time-resolved chemical vapor deposition process for indium nitride (InN) is reported using tris-<i>N</i>,<i>N</i>-dimethyl-<i>N</i>’,<i>N</i>”-diisopropylguanidinatoindium(III) (<b>1</b>) and ammonia plasma at 200 °C. The deposition was self-limiting with respect to the pulse time of <b>1</b>, indicative of a surface-controlled deposition chemistry. The films were confirmed to be InN by X-ray photoelectron spectroscopy (XPS) and film thicknesses of 10 nm were measured by X-ray reflectivity (XRR), corresponding to a deposition rate of 0.1 nm/cycle. Grazing incidence X-ray diffraction (GIXRD) showed a hexagonal polycrystalline film with a preferred (002) orientation. Morphology studies suggest an island growth mode. The poor thermal stability of <b>1</b>, previously discussed in the literature, prevented full characterization of the deposition process and the deposition of thicker films. It is concluded that while <b>1</b> can act as an In precursor for InN, its poor thermal stability prevents its practical use. </p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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