Selective Regulation of Electron–Ion–Phonon Transport in Thermoelectric Materials toward High Performance and Stability
Bibliographic record
Abstract
The complex inter-relationships among electrons, ions, and phonons make it extremely challenging to simultaneously regulate these microscopic particles. Superionic conductors offer an ideal operating platform but are often limited by their inherent ion mobility and susceptibility to degradation under extreme conditions. We developed a strategy to improve the stability of ion-conducting thermoelectric materials by constructing an in situ ligand-derived organic–inorganic interface. This strategy selectively enhances the electrical conductivity while suppressing the ionic and thermal conductivity. The resulting materials are classified as phonon liquid electron crystal ionic insulators (PLECII). The PLECII effectively prevents the accumulation of “liquid-like” ions under conditions of high current density and elevated temperature. Additionally, this strategy decouples the transport of electrons, ions, and phonons, resulting in an exceptional thermoelectric performance. Notably, a record-high energy conversion efficiency of 4.0% was achieved in the Cu 2 S-based device at a temperature difference of 473.1 K. Our method enables the design of materials with tunable electrical, ionic, and thermal conductivity, thereby expanding the applications of superionic conductors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".