X-ray diffuse scattering as precursor of incommensurate Peierls transitions in one-dimensional organic charge transfer conductors
Bibliographic record
Abstract
Abstract Quasi-one dimensional (1D) conductors of the TTF-TCNQ family of charge transfer salts exhibit a Peierls transition which stabilizes a periodic lattice distortion (PLD), accompanied by a charge density wave (CDW) modulation, with an incommensurate 2k F (and sometimes 4k F) wave vector related to the band filling of the 1D electronic subsystem. The Peierls instability is announced on an extended temperature range by 1D structural fluctuations giving rise to an X-ray diffuse scattering consisting of diffuse sheets in the reciprocal space. In this paper, we analyse quantitatively the thermal dependence of the correlation length of these 1D structural fluctuations, given by the inverse half-width of these diffuse sheets, and of the peak intensity of the diffuse scattering, using the correct treatment of the thermodynamics of the Peierls chain. From this analysis we are able to extract some microscopic parameters of the electron gas undergoing the Peierls instability, and, in particular, to quantify the importance of the electron-electron Coulomb repulsions. Finally, we examine the effect of the disorder on the Peierls instability and we show that defects modify the pretransitional fluctuations through the formation of Friedel oscillations whose development is controlled by the PLD-CDW response function of the Peierls chain.
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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".