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Record W2883548998

Alteration of gold nuggets enriched with Platinum Group Elements (PGEs)

2017· dissertation· en· W2883548998 on OpenAlexaboutno aff
Sophie Sperring

Bibliographic record

VenueMurdoch Research Repository (Murdoch University) · 2017
Typedissertation
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsnot available
FundersSchool of Engineering and Information Technology, Murdoch UniversityCentro de Excelencia en Geotermia de Los AndesUniversidad de ChileMurdoch University
KeywordsPlatinum groupPlacer miningMaterials scienceMetallurgyLeaching (pedology)MineralogyGeochemistryPlatinumGeologyNanotechnologyChemistrySoil water
DOInot available

Abstract

fetched live from OpenAlex

Understanding the mechanisms of incorporation, the form, and the solid-state solubility of Platinum Group Elements (PGEs) in gold nuggets at the nanoscale is critical to future works in gold (Au) nanoscale crystallography. Current works looking at similar samples include Mineral company research into extraction methods of similar samples and research in progress at the University of Western Austral using the alloy of the Au samples for medical purposes. \n \nThe work completed by this this used Au nugget samples that were taken from Ruby Creek, British Columbia, Canada. The geology specific to the Au samples used is a sub type of the placer alluvial is: Atlin gold placers, which are known for hosting a variety of metals, specific to the Atlin region. \n \nTraditional thought for Au nuggets for monocrystalline structures. This steams from research completed by the minerals industry to extract the gold that lent into mineralogical studies. The gold rich rim consists of spherical particles that do not display the silver rich core parallel lamellae texture. The core structure is truncated where it meets the rim of the particle. No PGE particles within the sample area observed. \n \nAs seen with previous studies the Au samples display a rim that is silver (Ag) enriched. The rim could be a leaching mechanism experience by the gold in the presence of aqueous material. The relationship between the Au and the Ag was established as inversely proportional. The PGEs accumulated in the rounded, poly crystalline nanoparticulate Au-rich rim. The rim exhibited greater porosity within this rim area. \n \nMajority of gain boundaries in the silver rich core of gold particles show a pile up of dislocations which result in multiplication of the diffraction maxima. The rim observed on the Au nugget samples were shown to have a PGE accumulation of between 10 to 20 μm. \n \nThe presence of the PGEs in solid solution is likely due to their relatively low concentrations and/or association with other trace elements such as Arsenic (As), Selenium (Se) and Sulphur (S), which may help to dissolve PGEs in the gold structure. The distribution seen of the PGEs suggests that during alteration of gold particles under supergene conditions, PGEs are subjected to the enrichment process due to a selective dissolution of Ag. Homogeneous distribution of Ru, Rh and Pd in the gold matrix and lack of PGEs nanoparticles in the pores support this postulation. \n \nThe irrefutable evidence obtained from this study is that the PGEs are in solid solution in crystal structure in this sample. Exsolution does not occur at the nanoscale. It can also be said that during the process of alteration, the PGE accumulate in the Ag removed area. \n \nThe interest in this project will extend into Nano-SIMS academic activity to have a closer look at the isotopic complexity and to look at the distribution of isotopes of PGEs in gold sample. Looking for exsolution at absolute nanoscales and to see if the isotopes of the PGEs fractionate in the gold formation are also main features of the future work in this area of mineralogy.

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 score0.003
Threshold uncertainty score0.005

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 head0.030
GPT teacher head0.300
Teacher spread0.270 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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