Emergence of Interfacial Magnetism in Strongly‐Correlated Nickelate‐Titanate Superlattices
Bibliographic record
Abstract
Strongly-correlated transition-metal oxides are widely known for their variousexotic phenomena. This is exemplified by rare-earth nickelates such asLaNiO3 , which possess intimate interconnections between their electronic,spin, and lattice degrees of freedom. Their properties can be further enhancedby pairing them in hybrid heterostructures, which can lead to hidden phasesand emergent phenomena. An important example is the LaNiO$_3$ /LaTiO$_3$ superlattice, where an interlayer electron transfer has been observed fromLaTiO$_3$ into LaNiO$_3$ leading to a high-spin state. However, macroscopicemergence of magnetic order associated with this high-spin state has so farnot been observed. Here, by using muon spin rotation, x-ray absorption, andresonant inelastic x-ray scattering, direct evidence of an emergentantiferromagnetic order with high magnon energy and exchange interactionsat the LaNiO3 /LaTiO$_3$ interface is presented. As the magnetism is purelyinterfacial, a single LaNiO$_3$/LaTiO$_3$ interface can essentially behave as anatomically thin strongly-correlated quasi-2D antiferromagnet, potentiallyallowing its technological utilization in advanced spintronic devices.Furthermore, its strong quasi-2D magnetic correlations, orbitally-polarizedplanar ligand holes, and layered superlattice design make its electronic,magnetic, and lattice configurations resemble the precursor states ofsuperconducting cuprates and nickelates, but with an S→1 spin state instead.
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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) | 0.001 | 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".