A Machine Learning Approach to Predict the Materials’ Susceptibility to Hydrogen Embrittlement
06 June 2023 - Published by Katharina Rubahn
Machine learning to predict materials susceptibility to Hydrogen embrittlement.
We introduce you to Alessandro Campari, a PhD candidate at the Department of Mechanical and Industrial Engineering of the Norwegian University of Science and Technology. His research on hydrogen storage and safety is part of the two projects H2CoopStorage and SH2IFT-2. We would like to share his work “A Machine Learning Approach to Predict the Materials’ Susceptibility to Hydrogen Embrittlement” recently presented at the ICheaP-16 conference.
Read his publication here.
DOI: 10.3303/CET2399033