Introduction to the special section on the Fifth IEEE International Nanoelectronics Conference (IEEE INEC)
Bibliographic record
Abstract
The Guest Editors are pleased to present here a special section of the best papers selected from 242 presentations in the fifth IEEE International Nanoelectronics Conference (IEEE INEC) held in Singapore in January 2013. The theme of the INEC 2013 is "sustainable nanoelectronics," aiming in nanoelectronics for the future. It brought together more than 230 participants to Singapore from 23 countries over the world, including China, Japan, Korea, India, Thailand, Egypt, Iran, Australia, Sweden, Canada, US, France, and UK. In addition to the invited and contributed talks and poster session, the conference also invited renowned experts to give keynote speech, spreading out in four parallel symposia: 1) Nanofabrication; 2) Nanoelectronics; 3) Nanophotonics; and 4) Nanosciences. We believe that the papers selected for this special section reflect the high quality of research in nanotechnology, and they will undoubtedly benefit the researchers in the field for their research and manufacturers for developing new high technology products.
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 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".