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Record W4405486630 · doi:10.1016/j.diamond.2024.111884

Synthesis and characterization of Ag doped DLC films for biomedical implants

2024· article· en· W4405486630 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDiamond and Related Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDopingCharacterization (materials science)Materials scienceNanotechnologyOptoelectronics

Abstract

fetched live from OpenAlex

Silver (Ag) doped diamond-like carbon (DLC) films were deposited on biomedical grade CoCrMo alloy using DC magnetron sputtering. The Ag concentration in the DLC matrix was controlled by varying the pulsed DC power to the Ag target from 13 W to 19 W. The composition, morphology, bonding states, and structure of the films were evaluated using energy dispersive X-ray spectroscopy, X-ray diffraction, Raman Spectroscopy, and X-ray Photoelectron Spectroscopy. The mechanical, adhesive, and tribological properties of the films were assessed through nanoindentation, optical profilometry, Rockwell C indentation, and pin-on-disk wear testing against ultra-high molecular weight polyethylene counter surfaces in a 0.9 wt% NaCl solution under a 10 N load. Additionally, the electrochemical corrosion performance of the bare alloy, undoped DLC, and Ag-doped films in a 0.9 wt% NaCl solution was investigated using electrochemical impedance spectroscopy and potentiodynamic polarization tests. The results indicate a significant reduction in residual stress and a slight decrease in hardness with Ag doping within the range of 3.5–13.2 at.% at Ag target power of 13 W–17 W. However, a drastic reduction in hardness was observed when the Ag doping exceeded 13.2 at.% at Ag target power of 17 W. The film with 7.1 at.% Ag doping at Ag target power of 16 W exhibited the lowest wear coefficient. Rockwell C indentation tests revealed that Ag doping enhanced the adhesion of the DLC film to the CoCrMo alloy. Furthermore, the results of the electrochemical corrosion tests showed that the DLC film doped with 7.1 at.% Ag at Ag target power of 16 W had the highest corrosion resistance in the 0.9 wt% NaCl solution, much higher than the bare alloy. • Ag-doped DLC films were synthesized using an RF/DC magnetron sputtering system with varying Ag concentrations. • At higher concentrations, Ag forms clustered structures within the films, influencing their properties. • Ag incorporation increases sp2 carbon clustering, reducing stress and improving DLC film adhesion. • Ag-doped DLC films reduce the friction and wear rate of UHMWPE counterparts. • Ag doping enhances the corrosion resistance of the films compared to the bare CoCrMo alloy.

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 categoriesInsufficient payload (model declined to judge)
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 score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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