Large Anomalous Hall Effect in a Nanocrystalline Room-Temperature Ferromagnetic CoCrFeNiGa High-Entropy Alloy
Bibliographic record
Abstract
Magnetic high-entropy alloys (HEAs) with their unusual blend of long-range magnetic order and exceptional mechanical properties are beneficial for the development of next-generation spintronic devices that can withstand extreme conditions. Developing room-temperature magnetic HEAs and understanding the link among their magnetic, electronic, and mechanical properties are crucial. Here, we introduce nanocrystalline CoCrFeNiGa as a room-temperature bulk magnetic HEA candidate based on 3d-transition metals and elucidate its magnetic and electronic properties. Structural characterization reveals the existence of mixed BCC and FCC phases with a crystallite size of ∼51 nm. CoCrFeNiGa shows a high Curie temperature ( T C ) of ∼872 K and soft magnetic behavior with minimal coercivity. We also observed spin freezing below 60 K, likely due to competing magnetic interactions among its 3d-transition metals. Electrical resistivity measurements confirm metallic behavior with magnon contributions below 50 K. Interestingly, CoCrFeNiGa exhibits a large anomalous Hall effect (AHE), with an anomalous Hall conductivity of ∼603 S·cm –1 at 5 K and ∼144 S·cm –1 at 300 K, persisting despite inherent disorder. This AHE is primarily attributed to an intrinsic mechanism. The combination of the above room-temperature magnetic order, soft magnetic properties, a large intrinsic AHE, and competing magnetic interactions positions CoCrFeNiGa as a prospective candidate for the development of next-generation robust spintronic devices and architectures using nanocrystalline magnetic HEAs, which are resilient under demanding conditions.
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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) | 0.000 | 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 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".