Evidence map›Paper›PMID 36083911›Full record

ArticleScience advances2022

Design metastability in high-entropy alloys by tailoring unstable fault energies.

Xin Wang, Rafael Rodriguez De Vecchis, Chenyang Li, Hanlei Zhang, Xiaobing Hu, Soumya Sridar, Yuankang Wang, Wei Chen, Wei Xiong

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Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

9 authors.

Xin WangPhysical Metallurgy and Materials Design Laboratory, Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0002-4287-3956
Rafael Rodriguez De VecchisPhysical Metallurgy and Materials Design Laboratory, Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0002-9566-4656
Chenyang LiDepartment of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL 60616 USA.ORCID 0000-0002-4193-2811
Hanlei ZhangPhysical Metallurgy and Materials Design Laboratory, Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0001-6540-0556
Xiaobing HuDepartment of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-9233-8118
Soumya SridarPhysical Metallurgy and Materials Design Laboratory, Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Yuankang WangPhysical Metallurgy and Materials Design Laboratory, Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Wei ChenDepartment of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL 60616 USA.ORCID 0000-0002-1135-7721
Wei XiongPhysical Metallurgy and Materials Design Laboratory, Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0002-3825-1679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastable alloys with transformation-/twinning-induced plasticity (TRIP/TWIP) can overcome the strength-ductility trade-off in structural materials. Originated from the development of traditional alloys, the intrinsic stacking fault energy (ISFE) has been applied to tailor TRIP/TWIP in high-entropy alloys (HEAs) but with limited quantitative success. Here, we demonstrate a strategy for designing metastable HEAs and validate its effectiveness by discovering seven alloys with experimentally observed metastability for TRIP/TWIP. We propose unstable fault energies as the more effective design metric and attribute the deformation mechanism of metastable face-centered cubic alloys to unstable martensite fault energy (UMFE)/unstable twin fault energy (UTFE) rather than ISFE. Among the studied HEAs and steels, the traditional ISFE criterion fails in more than half of the cases, while the UMFE/UTFE criterion accurately predicts the deformation mechanisms in all cases. The UMFE/UTFE criterion provides an effective paradigm for developing metastable alloys with TRIP/TWIP for an enhanced strength-ductility synergy.

Identifiers

PMID36083911
PMCPMC9462695

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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.