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.
Bibliographic record
Abstract
On-surface synthesis has been developed into a promising research field for fabricating low-dimensional materials with great potential in tailoring structures, functionality, and, thus, desired chemical and physical properties. Thus far, most surface-assisted reactions are conducted on single-crystal metal surfaces, which serve as catalysts. However, the metal surface severely quenches the intrinsic electronic or optical properties of the adsorbed functional material. In view of potential applications, in particular device fabrication, direct integration of functional molecular systems on technologically relevant insulating or semiconducting surfaces is highly desirable. Recently, significant efforts have been made toward realizing chemical reactions on nonmetallic substrates; however, details of their catalytic mechanisms are still unclear and require further investigation. On the other hand, various approaches have been demonstrated to replace the catalytic functionality of metals with, for example, photochemistry or direct tip manipulation. In this Perspective, we review early advances in this field of nonmetallic surface confined reactions and highlight upcoming opportunities and challenges. We start by describing recent advances in reaction types, followed by presenting various external catalytic methods and end with pointing out promising future directions.
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 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 | 0.000 |
| 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 | 0.001 |
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 it