Advanced Applications of Metal–Organic Decomposition Inks in Printed Electronics
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
High Resolution Image Download MS PowerPoint Slide Technology-based industries are constantly seeking materials and methods to fabricate compact, high-performance, and increasingly more complex printed electronic devices, fostering research in advanced conductive inks and processing techniques. Metal–organic decomposition (MOD) inks are a class of conductive inks based on molecular metal precursors that decompose into metallic features once printed, imparting them with unique attributes that distinguish them from particle-based inks. This Spotlight on Applications summarizes recent progress in understanding the chemistry, rheology, and printability of MOD inks that enable them to be printed, processed, and used with material substrates in unconventional ways. Their unique properties and capabilities are being leveraged to advance the field of printed electronics, from their use in 2.5D and 3D surfaces, wearables, and fine line printing and thus broadening the form factors and improving properties of devices used in the medial, automotive and aerospace industries.
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 | 0.001 |
| 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) | 0.000 | 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