Prediction on the light-assisted exfoliation of multilayered arsenene by the photo-isomerization of azobenzene
Bibliographic record
Abstract
The exfoliation of gray arsenic into single- or few-layered arsenene is a challenge of utmost importance. We propose here that the conformational change in the photo-isomerization of azobenzene-based photochromes might be used to promote the exfoliation of multilayered arsenene. Our density functional theory calculations show that the trans-to-cis conformational change can lead to an increase of the adjacent interlayer distance of arsenene from 6.59 Å to 11.07 Å. Starting from the transition state, the azobenzene molecule can be isomerized into the more stable trans form based on further ab initio molecular dynamics simulations. Reactive molecular dynamics simulations also show that about a 5 Å interlayer distance change can be induced by the cis-to-trans photo-isomerization of an azobenzene-OC10H21 molecule. The computational results may inspire the experimental enthusiasm for light-driven synthesis of single or few-layered arsenene.
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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 | 0.000 |
| 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 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".