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.
Show moreStarting year
2023
End year
2027
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy research fellows
Decision maker
Scientific Council for Natural Sciences and Engineering
16.05.2023
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