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.

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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

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article

Decoding solute-vacancy binding in transition metals via first-principles and machine learning

Longgang Hou, Linzhong Zhuang, Qingkun Tian, Flemming J.H. Ehlers et al.
Materials Research Letters
Machine Learning in Materials Science
article

Decoding solute-vacancy binding in transition metals via first-principles and machine learning

Longgang Hou, Linzhong Zhuang, Qingkun Tian, Flemming J.H. Ehlers, Hui Su, Yawen Wang, Junmei Wang, Zhao Yuhong
article en

Abstract

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.

Materials Research LettersVol. 13(8)
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)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 89%
Machine Learning in Materials Science
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