X-Yield: A Multi-Fidelity Yield Strength Dataset for Refractory High Entropy Alloys
Predicted yield strength of ternary alloys
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Description | Folder consisting of predicted yield strength of all ternary alloys. Files are labeled by ternary system consisting of elements A-B-C. T is temperature in K. |
Scope And Content | Content of columns 1-4: composition element A, composition element B, composition element C, predicted yield strength (GPa) |
Predicted yield strength of quaternary alloys
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Description | Folder consisting of predicted yield strength of all quaternary alloys. Files are labeled by quaternary system consisting of elements A-B-C-D. T is temperature in K. |
Scope And Content | Content of columns 1-5: composition element A, composition element B, composition element C, composition element D, predicted yield strength (GPa) |
Predicted yield strength of quinary alloys
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Description | Folder consisting of predicted yield strength of all quinary alloys. Files are labeled by quinary system consisting of elements A-B-C-D-E. T is temperature in K. |
Scope And Content | Content of columns 1-6: composition element A, composition element B, composition element C, composition element D, composition element E, predicted yield strength (GPa) |
Predicted yield strength of senary alloys
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Description | Folder consisting of predicted yield strength of all senary alloys. Files are labeled by senary system consisting of elements A-B-C-D-E-F. T is temperature in K. |
Scope And Content | Content of columns 1-7: composition element A, composition element B, composition element C, composition element D, composition element E, composition element F, predicted yield strength (GPa) |
Predicted yield strength of septenary alloys
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Description | Folder consisting of predicted yield strength of all septenary alloys. Files are labeled by septenary system consisting of elements A-B-C-D-E-F-G. T is temperature in K. |
Scope And Content | Content of columns 1-8: composition element A, composition element B, composition element C, composition element D, composition element E, composition element F, composition element G, predicted yield strength (GPa) |
Extracted experimental yield strength data with simulated prediction
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Scope And Content | Content of columns 1-4: alloy, temperature, yield strength (GPa), predicted yield strength (GPa) |
- Collection
- Cite This Work
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Gallagher, Brian; Elder, Kate L. M.; Chen, Xuxi; Chen, Tianlong; Olivares, Everardo, Y.; McCall, Scott K.; Perron, Aurelien P. P.; McKeown, Joseph, T.; Kailkhura, Bhavya; Wang, Zhangyang (2023). X-Yield: A Multi-Fidelity Yield Strength Dataset for Refractory High Entropy Alloys. In Lawrence Livermore National Laboratory (LLNL) Open Data Initiative. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0B858B0
- Description
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The created data is a yield strength prediction for all ternary-septenary alloys from the Al-Cr-Fe-Hf-Mo-Nb-Ta-Ti-V-W-Zr element family. The yield strength was predicted in 1% composition increments for ternary and quaternary alloys and in 5% increments for quinary, senary, and septenary alloys. Each prediction was done at temperatures between 300 - 2500 K in 100 K increments. This data was generated with an in-house code based on the yield strength prediction model introduced by Maresca and Curtin (https://doi.org/10.1016/j.actamat.2019.10.015).
The collected data contains 334 experimental yield strength measurements from the public open-source database, Citrine MPEA database (https://citrination.com/datasets/190954/show_search?searchMatchOption=fuzzyMatch), which is described in this publication (https://doi.org/10.1038/s41597-020-00768-9). All data consisting of a yield strength measurement that was taken at or above room temperature from an alloy in the 11 element family that has a body centered cubic (BCC) structure was extracted. For each extracted experimental point, a simulated prediction was generated for comparison using the referenced model. - Date Collected
- 2021-11-23
- Creation Date
- 2021-12-19 to 2022-04-25
- Date Issued
- 2023
- Principal Investigator
- Data Manager
- Contributors
- Funding
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This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 and was supported by the Laboratory Directed Research and Development (LDRD) program under project tracking code 22-SI-007.
- Topics
Format
View formats within this collection
- Language
- English
- Identifier
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Identifier: Aurelien P. P. Perron: https://orcid.org/0000-0002-5280-003X
Identifier: Bhavya Kailkhura: https://orcid.org/0000-0002-2819-2919
Identifier: Brian Gallagher: https://orcid.org/0000-0002-3262-6652
Identifier: Everardo Y. Olivares: https://orcid.org/0009-0004-4693-5810
Identifier: Joseph T. McKeown: https://orcid.org/0000-0002-8921-4798
Identifier: Kate L. M. Elder: https://orcid.org/0000-0001-7922-9913
Identifier: Scott K. McCall: https://orcid.org/0000-0002-7979-4944
Identifier: Tianlong Chen: https://orcid.org/0000-0001-7774-8197
Identifier: Xuxi Chen: https://orcid.org/0000-0001-5451-2704
Identifier: Zhangyang Wang: https://orcid.org/0000-0002-2050-5693
- Related Resources
- Experimental yield strength measurement data from Citrine MPEA database: https://citrination.com/datasets/190954/show_search?searchMatchOption=fuzzyMatch
- Borg, C.K.H., Frey, C., Moh, J. et al. Expanded dataset of mechanical properties and observed phases of multi-principal element alloys. Sci Data 7, 430 (2020). https://doi.org/10.1038/s41597-020-00768-9
- Francesco Maresca, William A. Curtin. Mechanistic origin of high strength in refractory BCC high entropy alloys up to 1900K. Acta Materialia, Volume 182, 2020, Pages 235-249, ISSN 1359-6454. https://doi.org/10.1016/j.actamat.2019.10.015
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- License
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Creative Commons Attribution 4.0 International Public License
- Rights Holder
- Lawrence Livermore National Laboratory
- Copyright
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Under copyright (US)
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
- Digital Object Made Available By
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Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
- Last Modified
2023-04-13