Influence of chemistry and structure on interfacial segregation in NbMoTaW with high-throughput atomistic simulations

Author:

Geiger Ian1ORCID,Luo Jian2ORCID,Lavernia Enrique J.3ORCID,Cao Penghui4ORCID,Apelian Diran3ORCID,Rupert Timothy J.134ORCID

Affiliation:

1. Material and Manufacturing Technology, University of California, Irvine, California 92697, USA

2. Department of NanoEngineering, University of California, San Diego, La Jolla, California 92093, USA

3. Department of Materials Science and Engineering, University of California, Irvine, California 92697, USA

4. Department of Mechanical and Aerospace Engineering, University of California, Irvine, California 92697, USA

Abstract

Refractory multi-principal element alloys exhibiting promising mechanical properties such as excellent strength retention at elevated temperatures have been attracting increasing attention. Although their inherent chemical complexity is considered a defining feature, a challenge arises in predicting local chemical ordering, particularly in grain boundary regions with an enhanced structural disorder. In this study, we use atomistic simulations of a large group of bicrystal models to sample a wide variety of interfacial sites (grain boundary) in NbMoTaW and explore emergent trends in interfacial segregation and the underlying structural and chemical driving factors. Sampling hundreds of bicrystals along the [001] symmetric tilt axis and analyzing more than one hundred and thirty thousand grain boundary sites with a variety of local atomic environments, we uncover segregation trends in NbMoTaW. While Nb is the dominant segregant, more notable are the segregation patterns that deviate from expected behavior and mark situations where local structural and chemical driving forces lead to interesting segregation events. For example, incomplete depletion of Ta in low-angle boundaries results from chemical pinning due to favorable local compositional environments associated with chemical short-range ordering. Finally, machine learning models capturing and comparing the structural and chemical features of interfacial sites are developed to weigh their relative importance and contributions to segregation tendency, revealing a significant increase in predictive capability when including local chemical information. Overall, this work, highlighting the complex interplay between the local grain boundary structure and chemical short-range ordering, suggests tunable segregation and chemical ordering by tailoring grain boundary structure in multi-principal element alloys.

Funder

National Science Foundation

Publisher

AIP Publishing

Subject

General Physics and Astronomy

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