1,2-Dithienylethene Photochromes and Non-destructive Erasable Memory
Bibliographic record
Abstract
Monitoring changes in ultraviolet-visible (UV-vis) absorption is not a viable method to process information for photochromic memory media due to the readout signal interfering with the photochromism. Only by monitoring the changes in other photophysical properties accompanying the photoisomerization reaction (refractive index, optical rotation, or luminescence, for example) can non-destructive, all photon-mode photochromic memory be realized. We have investigated several such systems based on 1,2-dithienylcyclopentene derivatives, which have a backbone that we consider to be currently the most promising of the photochromes. The two readout signals highlighted in this article are luminescence and optical rotation. The luminescent systems rely on porphyrinic chromophores tethered to the photochrome directly or through dative bonds. When the macrocycles are irradiated with light at wavelengths outside the absorption range of the photochrome, luminescence is only observed when the 1,2-dithienylcyclopentene backbone exists in its open-state. The self-assembly of a chiral photochromic metallo-helicate allows for stereoselective ring-closing of the 1,2-dithienylcyclopentene backbone providing a change in optical rotation that can be used as a readout signal. In the article, we also describe the use of ring-opening metathesis polymerization (ROMP) to fabricate well-ordered photochromic homopolymers possessing identical photochromic properties as their monomers.
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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) | 0.001 | 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 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".