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Record W4402232478 · doi:10.6000/2369-3355.2024.11.01

Conditions of Formation of α- and β-Modifications of Ge3N4 and Preparation of Germanium Oxynitride Dielectric Films

2024· article· en· W4402232478 on OpenAlexvenueno aff
Zurab V. Wardosanidze, Irakli Nakhutsrishvili, Revaz Kokhreidze

Bibliographic record

VenueJournal of Coating Science and Technology · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsnot available
Fundersnot available
KeywordsGermaniumMaterials scienceDielectricNanotechnologyEngineering physicsOptoelectronicsChemical engineeringEngineering

Abstract

fetched live from OpenAlex

The binary compound of germanium with nitrogen (Ge3N4) is used in various fields of science and technology. Among the experimentally discovered and theoretically predicted crystal modifications of Ge3N4 at ordinary pressures and temperatures, only the α- and β-phases of the nitride are stable. There are conflicting data in the literature on the conditions for the formation of these phases. The main methods for obtaining Ge3N4 are the nitridation of elemental germanium and its dioxide with ammonia. The present work studied the influence of the degree of humidity of ammonia on the possibility of the formation of pure α- and β-phases and their mixtures. It is shown that it is possible to obtain nitride with practically any ratio of these phases by varying degrees of humidity and the temperature of the process. During the process, the formation of germanium nitride is accompanied by its simultaneous evaporation. Oxidation with water vapors also produces volatile monoxide. Simultaneous evaporation of germanium nitride and oxide results in the deposition of a film of germanium oxynitride in the cold zone of the reactor. This film is a germanium oxynitride used in microelectronics as a dielectric layer in Metal-Insulator-Semiconductor systems.

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 score0.011
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.318
Teacher spread0.302 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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