Decoding solute-vacancy binding in transition metals via first-principles and machine learning
Traditional solute-vacancy binding energy (SVBE) models based on atomic radii or electronegativity fail for transition metals. Through first-principles analysis, we show SVBE comprises solute-host bond energy and vacancy relaxation energy. For main-group solutes, both components align with parabolic trends, yielding predictable SVBE. In transition metals, solute-host bond energy remains parabolic, but vacancy relaxation energy shifts its peak due to d-orbital splitting-induced lattice distortion asymmetry, leading to non-parabolic SVBE. This coupling resolves historical discrepancies across alloy systems. A complementary data-driven approach identifies key electronic descriptors. The framework provides a universal principle for solute selection in diffusion-controlled alloy design.
Authors
- Longgang Hou (ORCID: https://orcid.org/0000-0001-9794-4814)
- Linzhong Zhuang (ORCID: https://orcid.org/0000-0002-2201-0950)
- Qingkun Tian
- Flemming J.H. Ehlers
- Hui Su (ORCID: https://orcid.org/0000-0002-2850-2278)
- Yawen Wang (ORCID: https://orcid.org/0000-0002-2230-9901)
- Junmei Wang (ORCID: https://orcid.org/0000-0002-7841-4874)
- Zhao Yuhong (ORCID: https://orcid.org/0000-0002-7604-9201)
Institutions
- Nanjing Tech University (CN)
- Qilu University of Technology (CN)
- Shandong Academy of Sciences (CN)
- Liaoning Academy of Materials
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Materials Research Letters
- Published
- 2025-07-05
- DOI
- https://doi.org/10.1080/21663831.2025.2526100
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shandong Province