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Record W2775812227 · doi:10.1021/acs.jpcc.7b08611

Electron Induced Surface Reactions of HFeCo<sub>3</sub>(CO)<sub>12</sub>, a Bimetallic Precursor for Focused Electron Beam Induced Deposition (FEBID)

2017· article· en· W2775812227 on OpenAlexfundno aff
Ragesh Kumar T. P., Ilyas Unlu, Sven Barth, Oddur Ingólfsson, D. Howard Fairbrother

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2017
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsnot available
FundersDivision of ChemistryEuropean Cooperation in Science and TechnologyHáskóli ÍslandsIcelandic Centre for ResearchRyerson UniversityNational Science Foundation
KeywordsBimetallic stripElectron beam-induced depositionX-ray photoelectron spectroscopyChemistryDissociation (chemistry)DesorptionElectron beam processingMetalAnalytical Chemistry (journal)ElectronPhotochemistryAdsorptionPhysical chemistryChemical engineeringCathode rayOrganic chemistry

Abstract

fetched live from OpenAlex

The use of bimetallic precursors in focused electron beam induced deposition (FEBID) allows mixed metal nanostructures with well-defined metal ratios to be generated in a single step process. HFeCo 3 (CO) 12 is an example of one such bimetallic precursor that has previously been shown to form deposits with unusually high metal content (>80%) as compared to that of typical FEBID deposits (<30% metal content). To better understand the elementary bond breaking steps involved in FEBID of HFeCo 3 (CO) 12, we have employed a UHV surface science approach to study the effect of electron irradiation on nanometer thick films of HFeCo 3 (CO) 12 molecules. Using a combination of in situ X-ray photoelectron spectroscopy and mass spectrometry, we observed that the initial step of electron induced HFeCo 3 (CO) 12 dissociation is accompanied by desorption of ∼75% of the CO ligands from the precursor. A comparison with recent gas phase studies of HFeCo 3 (CO) 12 indicates that this process is consistent with a dissociative ionization process, mediated by the secondary electrons produced by interaction of the primary beam with the substrate. The loss of CO ligands from HFeCo 3 (CO) 12 in the initial dissociation step creates partially decarbonylated intermediates, HFeCo 3 (CO) x ( x avg. ≈ 3). During a typical FEBID process, further electron exposure or thermal reactions can further transform these intermediates. In our UHV surface science approach, the effect of these two processes can be studied in isolation and identified. Under the influence of further electron irradiation, XPS data reveals that the remaining CO ligands in the partially decarbonylated intermediates decompose to form residual carbon and iron oxides, suggesting that those CO ligands that desorbed in the initial step are lost predominantly from the Co atoms. However, annealing experiments demonstrate that CO ligands in the partially decarbonylated intermediates desorb under vacuum conditions at room temperature, leaving behind films that are free of almost any carbon or oxygen contaminants. This combination of efficient CO desorption during the initial dissociation step, followed by thermal CO desorption from the partially decarbonylated HFeCo 3 (CO) x ( x avg. ≈ 3) intermediates provide a rationale for the high metal contents observed in FEBID nanostructures created from HFeCo 3 (CO) 12 .

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 head0.018
GPT teacher head0.296
Teacher spread0.277 · 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

Citations28
Published2017
Admission routes1
Has abstractyes

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