Optimising and characterising refractory alloys with machine-learning interatomic potentials (OCRAMLIP)

Description of the granted funding

Medium- and high-entropy alloys are new classes of materials that contain multiple metallic elements in significant concentrations. This results in alloys with unique mechanical and high-temperature properties with possible applications in future fusion and fission reactors. However, most previous research has focused on alloys with nearly identical concentrations of each element, leaving huge parts of the theoretical composition space unexplored and the possibility of optimal alloy compositions yet to be discovered. In the OCRAMLIP project, we will do a computational search and discovery for promising refractory alloys in the Mo-Nb-Ta-V-W, Cr-Ta-V-W, and Hf-Nb-Ta-Ti-Zr families by developing accurate and fast machine-learning models for the interatomic interactions. The research will be carried out at the University of Helsinki with international and national collaborations combining theory, simulations, and experiments of strength, ductility, and diffusion in refractory alloys.
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Starting year

2023

End year

2027

Granted funding

Jesper Byggmästar Orcid -palvelun logo
552 390 €

Funder

Research Council of Finland

Funding instrument

Academy research fellows

Decision maker

Scientific Council for Natural Sciences and Engineering
16.05.2023

Other information

Funding decision number

354234

Fields of science

Physical sciences

Research fields

Tiiviin aineen fysiikka

Identified topics

nuclear safety, nuclear reactors