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Record W2585909414

Calcite nanoparticles as possible nano-fillers for reinforcing the plaster of Palazzetto Alessandro Lancia in Rome

2016· article· en· W2585909414 on OpenAlexfundno aff
Federica Valentini, F. Bertini, Marilena Carbone, Riccarda Antiochia, Gabriele Favero, Aldrei Boaretto, Delia Gazzoli

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsnot available
FundersInstitute of Circulatory and Respiratory Health
KeywordsCalciteVateriteScanning electron microscopeNanoparticleMaterials scienceMiniemulsionTransmission electron microscopyComposite materialNano-Chemical engineeringMineralogyNanotechnologyChemistryAragonite
DOInot available

Abstract

fetched live from OpenAlex

In this paper, CaCO3 nanoparticles were synthesized and then applied on the plaster of Palazzetto Alessandro Lancia, in Rome. CaCO3 (A) and CaCO3 (B) were fabricated by using urease enzyme and the miniemulsion strategy, respectively. Samples A and B were characterized by Transmission Electron Microscopy, X-Ray Diffraction and Scanning Electron Microscopy. Then, the dispersions were applied on the plaster and the SEM equipped by the Energy Dispersive X-Ray Analysis was used for characterization. Interesting results were obtained in recovering the mechanical properties of the plaster, not altering their permeability to water and perfectly keeping the wall transpiration but only in presence of nanostructured Calcite (A). This latter resulted in a high quality sample, if compared with the CaCO3 (B) (that also contains Vaterite compound). © 2016, Ecozone, OAIMDD. All rights reserved.

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 score0.001
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
Bibliometrics0.0000.000
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 head0.045
GPT teacher head0.271
Teacher spread0.226 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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Same venueIRIS Research product catalog (Sapienza University of Rome)Same topicBuilding materials and conservationFrench-language works237,207