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Record W2333335717 · doi:10.1021/jp1073208

Oxidation and Etching of CVD Diamond by Thermal and Hyperthermal Atomic Oxygen

2010· article· en· W2333335717 on OpenAlex
Z. Shpilman, I. Gouzman, Eitan Grossman, Linhan Shen, Timothy K. Minton, Jeffrey T. Paci, George C. Schatz, R. Akhvlediani, A. Hoffman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2010
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of Victoria
FundersDivision of Chemistry
KeywordsDiamondChemistryEtching (microfabrication)Thermal desorptionChemical vapor depositionOxygenAdsorptionChemical physicsCarbon fibersThermal oxidationElectron energy loss spectroscopyHydrogenThermalDesorptionAnalytical Chemistry (journal)NanotechnologyChemical engineeringLayer (electronics)Materials sciencePhysical chemistryTransmission electron microscopyComposite material

Abstract

fetched live from OpenAlex

The chemical bonding and morphology of chemical vapor deposited (CVD) diamond films exposed to thermal (∼0.04 eV) and hyperthermal (5 and 7.5 eV) atomic oxygen (AO) were studied by using high resolution electron energy loss spectroscopy (HREELS), atomic force microscopy, and theoretical simulations. Although exposure to thermal AO caused subtle changes to the surface morphology, hyperthermal AO resulted in selective etching of the diamond facets: (100) facets remained essentially unaffected, whereas (111)-oriented and other facets were severely etched. HREELS reveals that hydrogen is removed from the diamond surfaces during both thermal and hyperthermal AO exposures. By using isotopic labeling in the CVD growth procedure, it is observed that exposure to ambient conditions after the AO exposure leads to adsorption of adventitious hydrocarbons on the surface. The high background in the HREEL spectrum of samples exposed to hyperthermal AO suggests the presence of a graphitic layer. Simulations of the interaction between hyperthermal AO and (100) and (111) diamond surfaces were conducted by using direct dynamics based on density-functional-based tight binding methods, in an attempt to elucidate relevant reaction mechanisms. They suggest mechanisms for the partial graphitization of the (111) surface and for etching of this surface by way of CO 2 desorption. Such damaged graphitic layers have been previously shown to erode easily when exposed to a hyperthermal AO beam. The simulations also suggest that the (100) surface, fully covered with ketones, is inert to carbon removal upon exposure to hyperthermal oxygen atoms, which scatter inelastically from this surface without reaction. The simulations suggest that a nearly full ketone coverage is the steady-state configuration for a (100) diamond surface exposed to AO.

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.

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 score0.001
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.005
GPT teacher head0.232
Teacher spread0.227 · 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