Nickel/Iron Oxide Nanocrystals with a Nonequilibrium Phase: Controlling Size, Shape, and Composition
Bibliographic record
Abstract
Mixed nickel iron oxide nanomaterials have great potential for use in fields as wide-ranging as optics, water oxidation catalysis, and biomedical applications; large-scale deployment for any of these applications is possible due to the abundance of iron and nickel in the earth’s crust. Here, we describe single-crystal mixed nickel iron oxide nanoparticles with a rocksalt crystal structure and an iron content greater than >10 at%. The nanoparticles were synthesized via thermal decomposition of nickel and iron oleates, yielding monodisperse nanoparticles <12 nm in size. A range of compositions were accessible, ranging from iron-poor to iron-rich. Despite the predicted poor solubility of iron in the NiO lattice, as based upon the equilibrium phase diagram, and the general tendency of pure Fe x O to oxidize, the single-crystal nanoparticles are nonetheless kinetically persistent even at elevated temperatures (200 °C). Furthermore, by controlling the drying conditions and decomposition time of the oleate precursors as well as the initial ratio of nickel to iron in the precursor oleate mixture a variety of nanoparticle shapes–namely stars, cubes, and spheres–were formed. This control of shape and composition affords tunability of physical properties, exemplified by magnetic properties herein.
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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 | 0.000 | 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".