Nature of the Interaction of <i>N</i>,<i>N</i>′-Diphenyl-1,4-benzoquinonediimine with Iron Oxide Surfaces and Its Mobility on the Same Surfaces
Bibliographic record
Abstract
Abstract Short chain aniline oligomers are of interest for applications in organic electronics and as corrosion inhibitors for steel, requiring an improved understanding of their interactions with metal oxide films. Here we investigate the interactions of N,N′-diphenyl-1,4-benzoquinonediimine (B2Q1, oxidized form of an aniline dimer) with iron(III) oxides. B2Q1 transforms into its semiquinone form when interacting with α-Fe2O3. The resulting charge transfer between B2Q1 and α-Fe2O3 is demonstrated with mid-IR, visible, and Raman spectroscopy. Atomic force microscopy shows the first layer of B2Q1 to be oriented face-on. Thermal analysis also confirms this orientation for submonolayer coverage, whereas molecules start standing up on their edges upon multilayer formation. Thermal analysis shows that the first monolayer of B2Q1 is chemisorbed on the α-Fe2O3 surface, and the following multilayers are strongly interacting with each other. The behavior of the oxidized aniline dimer B2Q1 is in stark contrast to its reduced counterpart (DPPD), which also undergoes charge transfer to iron oxide (in opposite direction). B2Q1 interacts more weakly with the surface, causing it to be more mobile. The mobility of B2Q1 provides a clue toward understanding the self-healing behavior of polyaniline corrosion-inhibiting films on steel.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".