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
The continued miniaturization of silicon-based electronic circuits is fast approaching its physical limitations. It is unlikely that advances in miniaturization, following the so-called Moore's Law, can continue in the foreseeable future. Nanoelectronics has to go beyond silicon technology. New device paradigms based on nanoscale materials, such as molecular electronic devices, spin devices and carbon-based devices, will emerge. In this article, we introduce a nanodevice paradigm: graphene nanoelectronics. Due to its unique quantum effects and electronic properties, researchers predict that graphene-based devices may replace carbon nanotube devices and become major building blocks for future nanoscale computing. To manifest its unique electronic properties, we present some of our recent designs, namely a graphene-based switch, a negative differential resistance (NDR) device and a random access memory array (RAM). Since these basic devices are the building blocks for large-scale circuits, our findings can help researchers construct useful computing systems and study graphene-based circuit performance in the future.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it