Decoding solute-vacancy binding in transition metals via first-principles and machine learning
收藏Taylor & Francis Group2025-08-12 更新2026-04-16 收录
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https://tandf.figshare.com/articles/dataset/Decoding_solute-vacancy_binding_in_transition_metals_via_first-principles_and_machine_learning/29483479/1
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资源简介:
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.
提供机构:
Ehlers, Flemming J. H.; Wang, Yawen; Wang, Junmei; Zhao, Yuhong; Su, Hui; Zhuang, Linzhong; Tian, Qingkun; Hou, Longgang
创建时间:
2025-07-05



