Michiel Larmuseau
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Published
2022
Towards accurate processing-structure-property links using deep learning , , Scripta Materialia , 211, 114478 , 2022 , IF: 5.611
2021
Race against the Machine: can deep learning recognize microstructures as well as the trained human eye? , , Scripta Materialia , 193, 33-37 , 2021 , IF: 6.302 , 7/79 [Q1]
2020
Compact representations of microstructure images using triplet networks , , npj Computational Materials , 6, 156 , 2020 , IF: 8.67
Dissertations
(D1) , Machine Learning for Microstructure Analysis of Steel , , Supervisor(s): Prof. Dr. Stefaan Cottenier; Prof. Tom Dhaene; Lode Duprez , 03/05/2021
(D2) , Dissipation dynamics within quantum integrable models , , Supervisor(s): Prof. Dr. Dimitri Van Neck , 2016
2018
Invited talk
Speeding up materials discovery and design: from high-throughput screening to machine learning , , MSNANO-18 , Faisalabad, Pakistan , Mon, 19/02/2018 to Tue, 20/02/2018 2018
Accelerating materials screening with machine learning: The case study of silicon , , 34th winter school in theoretical chemistry: Machine Learning in Theoretical Chemistry , Helsinki, Finland , Mon, 10/12/2018 to Thu, 13/12/2018
How many materials are left to discover? An exploration of quaternary space , , ML4MS Conference , Espoo, Finland , 19 , Thu, 03/05/2018 to Fri, 04/05/2018
How many materials are left to discover? An exploration of quaternary space , , International Workshop on Machine Learning for Materials Science 2018 , Aalto, Finland , Thu, 03/05/2018 to Fri, 04/05/2018
2018
Machine learning and materials science: ab initio screening to microstructure analysis , , 34th winter school in theoretical chemistry: Machine Learning in Theoretical Chemistry , Helsinki, Finland , Mon, 10/12/2018 to Thu, 13/12/2018