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AI-powered computational materials design enabling efficient development and implementation of sustainable metals

Research project WASP-WISE funded joint project for computational materials design

This project aims to develop novel approaches for computational materials design using statistical learning with sparsity and advance our understanding of material phenomena that are often complex-structured and high-dimensional.

Head of project

Jun Yu

Project overview

Project period:

2024-01-01 2024-12-31

Participating departments and units at Umeå University

Department of Mathematics and Mathematical Statistics

External partners

Department of Materials Science and Engineering, KTH

Research area

Materials science, Statistics

External funding

Wallenberg AI, Autonomous Systems and Software Program, WISE

External funding

Latest update: 2024-03-21