Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 503

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Natural-mixing guided design of refractory high-entropy alloys with as-cast tensile ductility

Open access
Wei, Shaolou, Kim, Sang Jun, Kang, Jiyun, Zhang, Yong, Zhang, Yongjie, Furuhara, Tadashi, Park, Eun Soo, Tasan, Cemal Cem·2020·Nature Materials

Abstract

Metallic alloys containing multiple principal alloying elements have created a growing interest in exploring the property limits of metals and understanding the underlying physical mechanisms. Refractory high-entropy alloys have drawn particular attention due to their high melting points and excellent softening resistance, which are the two key requirements for high-temperature applications. Their compositional space is immense even after considering cost and recyclability restrictions, providing abundant design opportunities. However, refractory high-entropy alloys often exhibit apparent brittleness and oxidation susceptibility, which remain important challenges for their processing and application. Here, utilizing natural-mixing characteristics among refractory elements, we designed a Ti 38 V 15 Nb 23 Hf 24 refractory high-entropy alloy that exhibits >20% tensile ductility in the as-cast state, and physicochemical stability at high temperatures. Exploring the underlying deformation mechanisms across multiple length scales, we observe that a rare β′-phase plays an intriguing role in the mechanical response of this alloy. These results reveal the effectiveness of natural-mixing tendencies in expediting high-entropy alloy discovery. A refractory high-entropy alloy was designed with the composition chosen based on the natural-mixing characteristics among refractory elements; this alloy demonstrates good tensile ductility in the as-cast state and physicochemical stability at high temperatures.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41563-020-0750-4

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 28 references

Cited by

See all 503

Metadata

Authors
Wei, S., Kim, S. J., Kang, J., Zhang, Y., Zhang, Y., Furuhara, T., Park, E. S., & Tasan, C. C.
Venue
Nature Materials
Published
2020-08-24
Volume
19
Issue
11
Pages
1175-1181
ISSN
  • 1476-1122 (ISSN-L)
  • 1476-4660
OpenAlex
W2989785973
Cited by
503
References
28
FWCI
23.26
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Natural-mixing guided design of refractory high-entropy alloys with as-cast tensile ductility. https://app.cochat.ai/papers/10.1038/s41563-020-0750-4
The paper
Wei, S., Kim, S. J., Kang, J., Zhang, Y., Zhang, Y., Furuhara, T., Park, E. S., & Tasan, C. C. (2020). Natural-mixing guided design of refractory high-entropy alloys with as-cast tensile ductility. Nature Materials. https://doi.org/10.1038/s41563-020-0750-4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.