Characterization of HOPG, Sputtered HPOG and Graphene by ToF-SIMS and XPS
Bibliographic record
Abstract
Graphene, a single layer of graphite, has attracted much attention due to its physical properties and two-dimensional structure. It has been used in many important industrial applications, including batteries, electronic devices and sensors. The cleanliness of graphene surfaces is important for successful uses of graphene in these applications. Surfaces of highly oriented pyrolytic graphite (HOPG), which can be regarded as the surfaces of defect-free graphene and surfaces of graphene were characterized by two very powerful surface analysis techniques - X-ray photoelectron spectroscopy (XPS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS) [1-4]. XPS results indicated that the impurities on the surfaces of graphene and HOPG can be removed by annealing samples of graphene and HOPG in vacuum at 400 oC [5]. In addition, ToF-SIMS results showed that even a small amount of poly(methyl methacrylate) (PMMA) impurity on the graphene surface can be removed by annealing the sample in vacuum at 500 oC. In the C1s spectrum of clean HOPG, an asymmetric sp2 carbon peak and a π-π* shake-up peak were present, indicating the absence of defects. An additional sp3 carbon peak representing sp3 defects was present, however, in the C1s spectrum of clean graphene. The positive ion spectra of these two materials differed somewhat, with the major difference being the presence of C<sub>x</sub>H<sub>2</sub><sup>+•</sup> ions in graphene. To determine the origin of the C<sub>x</sub>H<sub>2</sub><sup>+•</sup> ions, defects were created on the surface of HOPG by bombarding it with a Cs+ ion beam at various sputtering doses. A sp3 carbon peak at 284.9 eV, representing sp3 defects appeared in the XPS spectra of sputtered HOPG samples, confirming that the surface of the sputtered HOPG is similar to that of graphene. A detailed examination of the positive ion spectra of ion-bombarded HOPG surfaces reveals the presence of the C<sub>x</sub>H<sub>2</sub><sup>+•</sup> ions, confirming that these C<sub>x</sub>H<sub>2</sub><sup>+•</sup>, which came from the defects created on the sputtered HOPG surfaces, are similar to the defects present on graphene surface.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".