Ductility mechanisms in complex concentrated refractory alloys from atomistic fracture simulations
Abstract The striking variation in damage tolerance among refractory complex concentrated alloys is examined through the analysis of atomistic fracture simulations, contrasting behavior in elemental Nb with that in brittle NbMoTaW and ductile Nb 45 Ta 25 Ti 15 Hf 15 . We employ machine-learning interatomic potentials (MLIPs), including a new MLIP developed for NbTaTiHf, in atomistic simulations of crack tip extension mechanisms based on analyses of atomistic fracture resistance curves. While the initial behavior of sharp cracks shows good correspondence with the Rice theory, fracture resistance curves reveal marked changes in fracture modes for the complex alloys as crack extension proceeds. In NbMoTaW, compositional complexity appears to promote dislocation nucleation relative to pure Nb, despite theoretical predictions that the alloy should be relatively more brittle. In Nb 45 Ta 25 Ti 15 Hf 15 , alloying alters the fracture mode compared to elemental Nb, promoting crack tip blunting and enhancing resistance to crack propagation.
Authors
- Diana Farkas (ORCID: https://orcid.org/0000-0003-3976-0595)
- David H. Cook (ORCID: https://orcid.org/0000-0002-4236-000X)
- Robert O. Ritchie (ORCID: https://orcid.org/0000-0002-0501-6998)
- Mark Asta (ORCID: https://orcid.org/0000-0002-8968-321X)
- Buyu Zhang (ORCID: https://orcid.org/0000-0001-8105-1237)
- Flynn Walsh (ORCID: https://orcid.org/0000-0002-4947-6910)
- Pedro P. P. O. Borges (ORCID: https://orcid.org/0000-0002-8740-9583)
- Punit Kumar (ORCID: https://orcid.org/0000-0003-3233-8279)
- W.L. Wang (ORCID: https://orcid.org/0009-0005-1141-8079)
Institutions
- Lawrence Berkeley National Laboratory (US)
- Virginia Tech (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- npj Computational Materials
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1038/s41524-025-01810-3
- Citations
- 4
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 2.07
Funders
- U.S. Department of Energy
- National Energy Research Scientific Computing Center
- Office of Science
- Basic Energy Sciences
- Lawrence Berkeley National Laboratory