Evidence map›Paper›PMID 37947693›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Phase Change-Induced Magnetic Switching through Metal-Insulator Transition in VO

Chung T Ma, Salinporn Kittiwatanakul, Apiprach Sittipongpittaya, Yuhan Wang, Md Golam Morshed, Avik W Ghosh, S Joseph Poon

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chung T MaDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-6802-7205
Salinporn KittiwatanakulDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0001-6744-1335
Apiprach SittipongpittayaDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.
Yuhan WangDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.
Md Golam MorshedDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0001-7965-1401
Avik W GhoshDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-8020-0760
S Joseph PoonDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-6416-8991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to manipulate spins in magnetic materials is essential in designing spintronics devices. One method for magnetic switching is through strain. In VO2 on TiO2 thin films, while VO2 remains rutile across the metal-insulator transition, the in-plane lattice area expands going from a low-temperature insulating phase to a high-temperature conducting phase. In a VO2/TbFeCo bilayer, the expansion of the VO2 lattice area exerts tension on the amorphous TbFeCo layer. Through the strain effect, magnetic properties, including the magnetic anisotropy and magnetization, of TbFeCo can be changed. In this work, the changes in magnetic properties of TbFeCo on VO2/TiO2(011) are demonstrated using anomalous Hall effect measurements. Across the metal-insulator transition, TbFeCo loses perpendicular magnetic anisotropy, and the magnetization in TbFeCo turns from out-of-plane to in-plane. Using atomistic simulations, we confirm these tunable magnetic properties originating from the metal-insulator transition of VO2. This study provides the groundwork for controlling magnetic properties through a phase transition.

Indexed as

ferrimagneticmagnetic switchingmetal–insulator transition

Identifiers

PMID37947693
PMCPMC10650912

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.