
Lovisa Åkesson
Externally employed doctoral student
Research subject: Engineering Materials
Division: Materials Science
Department of Engineering Sciences and Mathematics
About Me
I hold a BSc in Engineering Physics and an MSc in Physics from Chalmers University of Technology. I am particularly interested in computational materials science, especially in applications related to sustainable development.
I am currently pursuing an industrial PhD as a Materials Informatics Engineer in collaboration with Ferritico AB and Luleå University of Technology. My research focuses on the application of machine learning to steel design, with a particular emphasis on developing models capable of predicting mechanical properties of scrap-tolerant steels. This work aims to support the development of more sustainable steel solutions by enabling the efficient use of recycled materials without compromising performance.
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