Evidence map›Paper›PMID 35744501›Full record

ArticleMicromachines2022

High-Temperature Ferroelectric Behavior of Al

Daniel Drury, Keisuke Yazawa, Andriy Zakutayev, Brendan Hanrahan, Geoff Brennecka

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Write cycling endurance exceeding 10Nature communications · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Demonstration of 10 nm Ferroelectric AlMaterials (Basel, Switzerland) · 2024
    Article
  8. 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

5 authors.

Daniel DruryColorado School of Mines, 1500 Illinois Ave., Golden, CO 80401, USA.ORCID 0000-0002-8413-5927
Keisuke YazawaColorado School of Mines, 1500 Illinois Ave., Golden, CO 80401, USA.
Andriy ZakutayevNational Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA.
Brendan HanrahanU.S. Army Combat Capabilities Development Command-Army Research Laboratory, Adelphi, MD 20783, USA.
Geoff BrenneckaColorado School of Mines, 1500 Illinois Ave., Golden, CO 80401, USA.ORCID 0000-0002-4476-7655

Funding

Defense Advanced Research Projects Agency DARPA-PA-19-04-03
6 · The paper itself

Abstract

Currently, there is a lack of nonvolatile memory (NVM) technology that can operate continuously at temperatures > 200 °C. While ferroelectric NVM has previously demonstrated long polarization retention and >1013 read/write cycles at room temperature, the largest hurdle comes at higher temperatures for conventional perovskite ferroelectrics. Here, we demonstrate how AlScN can enable high-temperature (>200 °C) nonvolatile memory. The c-axis textured thin films were prepared via reactive radiofrequency magnetron sputtering onto a highly textured Pt (111) surface. Photolithographically defined Pt top electrodes completed the capacitor stack, which was tested in a high temperature vacuum probe station up to 400 °C. Polarization−electric field hysteresis loops between 23 and 400 °C reveal minimal changes in the remanent polarization values, while the coercive field decreased from 4.3 MV/cm to 2.6 MV/cm. Even at 400 °C, the polarization retention exhibited negligible loss for up to 1000 s, demonstrating promise for potential nonvolatile memory capable of high−temperature operation. Fatigue behavior also showed a moderate dependence on operating temperature, but the mechanisms of degradation require additional study.

Indexed as

AlScNfatigueferroelectricfilmhigh temperaturenonvolatile memoryretentionsputter depositionwurtzite

Identifiers

PMID35744501
PMCPMC9227949

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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.