Michiel Larmuseau

PhD Fellow (EA08)
+32 (0)9 264 66 37

A1 publications

A2 publications

B publications

P1 publications

Keynote / Plenary / Invited talks

2018

Invited talk

Speeding up materials discovery and design: from high-throughput screening to machine learning , M. Sluydts, M. Larmuseau, K. Dumon, T. Crepain, K. Lejaeghere, S. Cottenier , MSNANO-18 , Faisalabad, Pakistan , ma, 19/02/2018 t/m di, 20/02/2018

Talks

2018

Accelerating materials screening with machine learning: The case study of silicon , M. Sluydts, M. Larmuseau, J. Lauwaert, S. Cottenier , 34th winter school in theoretical chemistry: Machine Learning in Theoretical Chemistry , Helsinki, Finland , ma, 10/12/2018 t/m do, 13/12/2018
How many materials are left to discover? An exploration of quaternary space , M. Sluydts, M. Larmuseau, K. Dumon, T. Crepain, K. Lejaeghere, S. Cottenier , International Workshop on Machine Learning for Materials Science 2018 , Aalto, Finland , do, 03/05/2018 t/m vr, 04/05/2018
How many materials are left to discover? An exploration of quaternary space , M. Sluydts, M. Larmuseau, T. Crepain, K. Dumon, K. Lejaeghere, S. Cottenier , ML4MS Conference , Espoo, Finland , 19 , do, 03/05/2018 t/m vr, 04/05/2018

Posters

2018

Machine learning and materials science: ab initio screening to microstructure analysis , M. Larmuseau, M. Cools-Ceuppens, M. Sluydts, T. Verstraelen, S. Cottenier , 34th winter school in theoretical chemistry: Machine Learning in Theoretical Chemistry , Helsinki, Finland , ma, 10/12/2018 t/m do, 13/12/2018

Dissertations

(D2) , Dissipation dynamics within quantum integrable models , M. Larmuseau , Supervisor(s): Prof. Dr. Dimitri Van Neck , 2016