Unusual Thermal Transport in Few‐Layer Van der Waals Antiferromagnet CrOCl
Bibliographic record
Abstract
Few-layer van der Waals magnets are exceptional candidates for investigating the fundamental spin behaviors and advancing the development of next-generation ultra-compact spintronic devices. While the intrinsic long-range magnetic order is well-established in the monolayer limit, the thermal transport behavior involving magnons, phonons, and magnetophonon polarons near the phase transition remains largely unexplored. In this work, the thermal transport behavior is probed near the phase transitions from bulk to the monolayer limit by using a differential suspended thermal bridge method, which provides an ultra-sensitive temperature and thermal conductance measurement enhanced by the double Wheatstone bridge. In the few-layer CrOCl flake, a stronger magnon-phonon coupling is observed compared to the bulk, resulting in a shift in the thermal transport behavior from a dip to a peak shape around the Néel temperature. Additionally, below the Néel temperature, the few-layer CrOCl significantly enhances the interfacial thermal conductance between the metal electrode and insulator substrate, potentially leading to the substantial improvements in the heat dissipation in Si-based semiconductor devices. This study introduces a novel method and strategy for probing the fundamental magnetic phase transition behavior and lays a solid foundation for the potential application of van der Waals magnets in the electronic devices.
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.
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".