Dimensionality effects on the magnetisation processes in arrays of superparamagnetic nanoparticles
Bibliographic record
Abstract
We analyse the effect of inter-particle coupling and clustering on the zero-field cooled (ZFC) magnetisation processes of superparamagnetic nanoparticles. The static interaction field in dense assemblies of nanoparticles of different dimensionalities (1D, 2D and 3D) is investigated by numerical micromagnetic simulations. An analytical model is then used in order to evaluate the influence of the dimensionality of these systems on the topology of zero-field cooled magnetisation processes. Mutual static magnetic interactions are almost negligible in 3D arrays but become very important in systems of reduced dimensionality such as chains or layers of nanoparticles and they can account for up to 20% shift in the peak temperature of ZFC curves. The present results can be useful in evaluate the influence of interactions on the topology of ZFC magnetisation curves.
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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 | 0.000 | 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 | 0.001 | 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 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".