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Record W3037901815 · doi:10.30970/jps.17.1702

Nanoferroics: New effects, properties, possibilities

2013· article· en· W3037901815 on OpenAlexaff
V. Kapustianyk

Bibliographic record

VenueJournal of Physical Studies · 2013
Typearticle
Languageen
FieldChemistry
TopicPigment Synthesis and Properties
Canadian institutionsFractal Systems (Canada)
FundersFoundation for Research and Technology-HellasWojskowa Akademia TechnicznaTartu ÜlikoolCentre National de la Recherche Scientifique
KeywordsComputer science

Abstract

fetched live from OpenAlex

The latest results concerning the quantum confinement and other size effects in the nanoferroics are reviewed. The main attention was devoted to the spectral, dielectric and nonlinear optics properties of the nanocomposites based on the single crystals (NH2(C2H5)2)2CuCl4 (furthermore DEACC) and (N(C2H5)4)2CoCl2Br2 (TEACCB). The peculiarities of the magnetic and dielectric properties were discussed on the example of the low dimensional ferroic (C2H5NH3)2CuCl4 (EACC). The physical nature of the principally new effects and properties of the nanostructured ferroics is considered. It has been shown that due to the embedding into a polymer matrix in the NC state the ferroic becomes very attractive from the technological point of view. The hygroscopic, brittle and thermally unstable crystals grown from aqueous solution are transformed in such a way that they would be used as principally new nonlinear optics elements, piezotransducers, sensitive materials for sensors, etc.

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: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.038
GPT teacher head0.259
Teacher spread0.221 · 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
GenreReview

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

Citations17
Published2013
Admission routes1
Has abstractyes

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