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Article: Crucial feature space for ductile bcc high-entropy alloys
Title | Crucial feature space for ductile bcc high-entropy alloys |
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Authors | |
Issue Date | 17-Oct-2022 |
Publisher | American Institute of Physics |
Citation | Applied Physics Letters, 2022, v. 121, n. 16 How to Cite? |
Abstract | Body-centered cubic (bcc) high-entropy alloys (HEAs) are promising structural materials for nuclear power plants to ensure good radiation resistance. However, the majority of bcc HEAs show limited room temperature ductility even in compression. In addition to the compressive properties of as-cast high-activation bcc HEAs collected from the literature, those of low-activation ones were investigated by phase diagram calculations and experiments. Therefore, a consistent dataset comprising 93 samples was generated. A classification and regression tree (CART) algorithm was employed to differentiate the target bcc HEAs with a compressive failure strain of more than 50% from the others. The model generality of a finalized CART classifier was validated by training and testing F1 scores and accuracies. It was found that Pugh's ratio (κ) and valence electron concentration (VEC) are two key attributes to identify the target alloys. The crucial κ-VEC feature space displays that the targets are generally located in the region where κ is larger than 3.129 or VEC is larger than 6.296. Especially, high-activation and low-activation samples seem to have opposite characteristics, motivating the further study of a deformation mechanism for low-activation bcc HEAs. |
Persistent Identifier | http://hdl.handle.net/10722/331923 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 0.976 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jiang, H | - |
dc.contributor.author | Wang, M | - |
dc.contributor.author | Huang, MX | - |
dc.date.accessioned | 2023-09-28T04:59:38Z | - |
dc.date.available | 2023-09-28T04:59:38Z | - |
dc.date.issued | 2022-10-17 | - |
dc.identifier.citation | Applied Physics Letters, 2022, v. 121, n. 16 | - |
dc.identifier.issn | 0003-6951 | - |
dc.identifier.uri | http://hdl.handle.net/10722/331923 | - |
dc.description.abstract | <p>Body-centered cubic (bcc) high-entropy alloys (HEAs) are promising structural materials for nuclear power plants to ensure good radiation resistance. However, the majority of bcc HEAs show limited room temperature ductility even in compression. In addition to the compressive properties of as-cast high-activation bcc HEAs collected from the literature, those of low-activation ones were investigated by phase diagram calculations and experiments. Therefore, a consistent dataset comprising 93 samples was generated. A classification and regression tree (CART) algorithm was employed to differentiate the target bcc HEAs with a compressive failure strain of more than 50% from the others. The model generality of a finalized CART classifier was validated by training and testing F1 scores and accuracies. It was found that Pugh's ratio (<em>κ</em>) and valence electron concentration (<em>VEC</em>) are two key attributes to identify the target alloys. The crucial <em>κ</em>-<em>VEC</em> feature space displays that the targets are generally located in the region where <em>κ</em> is larger than 3.129 or <em>VEC</em> is larger than 6.296. Especially, high-activation and low-activation samples seem to have opposite characteristics, motivating the further study of a deformation mechanism for low-activation bcc HEAs.</p> | - |
dc.language | eng | - |
dc.publisher | American Institute of Physics | - |
dc.relation.ispartof | Applied Physics Letters | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Crucial feature space for ductile bcc high-entropy alloys | - |
dc.type | Article | - |
dc.identifier.doi | 10.1063/5.0124590 | - |
dc.identifier.scopus | eid_2-s2.0-85140214009 | - |
dc.identifier.volume | 121 | - |
dc.identifier.issue | 16 | - |
dc.identifier.eissn | 1077-3118 | - |
dc.identifier.isi | WOS:000873951900011 | - |
dc.identifier.issnl | 0003-6951 | - |