Abstract 1628 Energy-Efficient Color Manipulation
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
Chromatophores, the light-manipulating optical filters that enable rapid camouflage and signaling in cephalopod skin, operate through the expansion and contraction of pigment-containing sacs, resulting in vivid color changes. Chromatophore-inspired materials have long relied on non-mechanical processes or demanded substantial power inputs if they are mechanically-driven. Drawing inspiration from biological systems, we have developed double network (DN) hydrogels that utilize mechanical changes to modulate optical properties, presenting a promising avenue for achieving energy-efficient color manipulation. These materials have a covalently crosslinked, rigid network intricately entwined with an ionically crosslinked, ductile network, mitigating the fragility observed in single network hydrogels, and can be embedded with color-changing molecular absorbers. These conformational changes, driven by pH variations due to the presence of pH-sensitive acrylic acid/acrylamide components, enable these DN gels to be mechanically compliant, allowing substantial and reversible mechanical actuation without breakage or dissolution. The biomimetic approach enables achieving energy-efficient and dynamically responsive bio-inspired color displays. I would like to express my gratitude to Northeastern's Project-Based Exploration for the Advancement of Knowledge (PEAK) award for funding this project.
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) | 0.001 | 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 it