First-principles investigation on diffusion mechanism of alloying elements in dilute Zr alloys
Hai-Jin Lu, Henry Wu, Nan Zou, Xiao-Gang Lu, Yan-Lin He, Dane Morgan

TL;DR
This study uses first-principles calculations to predict impurity diffusion mechanisms and coefficients for 14 alloying elements in Zr, clarifying vacancy versus interstitial diffusion contributions relevant for nuclear applications.
Contribution
It provides a comprehensive first-principles analysis of impurity diffusion mechanisms in Zr alloys, including temperature-dependent diffusion coefficients and identification of dominant diffusion pathways.
Findings
Cr, Cu, V, Zn, Mo, W, Au, Ag, Al, Nb, Ta, Ti mainly diffuse via interstitial mechanisms.
Hf, Zr, Sn likely diffuse via vacancy mechanisms at low temperature and interstitial at high temperature.
Diffusion mechanisms correlate roughly with the metallic radii of the solutes.
Abstract
Impurity diffusion in Zr is potentially important for many applications of Zr alloys, and in particular for their use of nuclear reactor cladding. However, significant uncertainty presently exists about which elements are vacancy vs. interstitial diffusers, which can inhibit understanding and prediction of their behavior under different temperature, irradiation, and alloying conditions. Therefore, first-principles calculations based on density functional theory (DFT) have been employed to predict the temperature-dependent dilute impurity diffusion coefficients for 14 substitutional alloying elements in hexagonal closed packed (HCP) Zr. Vacancy-mediated diffusion was modeled with the eight-frequency model. Interstitial contributions to diffusion are estimated from interstitial formation and select migration energies. Formation energies for each impurity in nine high-symmetry interstitial…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
