Large spontaneous magneto-thermoelectric effect in epitaxial thin films of the topological kagome ferromagnet <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Fe</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:mi>Sn</mml:mi></mml:mrow></mml:math>
Bibliographic record
Abstract
This study investigates the anomalous Nernst effect (ANE), a novel technique to convert heat into electricity utilizing the magnetic and topological properties of materials. Unlike the Seebeck effect, ANE employs established thin-film technology to develop practical thermoelectric devices. We have successfully fabricated high-quality (0001)-oriented epitaxial films of the topological kagome ferromagnet Fe${}_{3}$Sn and characterized their thermoelectric properties. These films exhibit a large ``zero-field'' ANE signal of ~3 \textmu{}V/K at room temperature due to large magneto-crystalline anisotropy as well as the shape anisotropy for in-plane magnetization arrangements, making them ideal for applications such as heat flux sensors and energy harvesters. This breakthrough in utilizing Fe${}_{3}$Sn films not only advances the understanding of ANE in topological magnets but also paves the way for the design of high-performance thermoelectric devices.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.211 | 0.003 |
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; both teacher heads agree on what is shown here.
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".