Evidence map›Paper›PMID 40468605›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

High Entropy Alloy Thin Films as Efficient Spin-Orbit Torque Sources for Spintronic Memories.

Peng Wang, Andrea Migliorini, Yung-Cheng Li, Hakan Deniz, Ilya Kostanovski, Jae-Chun Jeon, Stuart S P Parkin

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. C16 Phase High Entropy Borides With High Magnetic Anisotropy.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. 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.

Peng WangMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.
Andrea MiglioriniMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.ORCID https://orcid.org/0000-0002-6904-3573
Yung-Cheng LiMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.
Hakan DenizMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.
Ilya KostanovskiMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.
Jae-Chun JeonMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.
Stuart S P ParkinMax Planck Institute of Microstructure Physics, 06120, Halle (Saale), Germany.ORCID https://orcid.org/0000-0003-4702-6139

Funding

ERC-AdG SUPERMINT 2021European Research Council SUPERMINTSamsung Electronics R&D program "Material and Device research on Racetrack Memory"
6 · The paper itself

Abstract

High entropy alloys (HEAs) containing multiple elements are emerging as advanced materials with enhanced functionalities. However, their use for spintronic applications remains elusive. Here, it is demonstrated that iridium based HEAs, grown by magnetron sputtering at room temperature, can be used as spin Hall layers. These films display highly efficient conversion of charge current into spin current. They also allow for the epitaxial growth of magnetic multilayers with perpendicular magnetic anisotropy as well as synthetic antiferromagnets using a ternary RuAlGa antiferromagnetic coupling layer. It is demonstrated that iridium-based HEAs serve as effective sources of spin-orbit torque, as quantified by spin-torque ferromagnetic resonance and harmonic Hall measurements, enabling current-induced magnetization reversal and domain wall motion. The threshold current density for current-induced magnetization switching is found to be as low as ∼10 MA cm

Indexed as

high entropy alloyracetrack memoryspin Hall effectspintronics

Identifiers

PMID40468605
PMCPMC12306383

What OpenQuestion holds

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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.