ECCOMAS 2024

MS148B Advances in machine learning for composite materials II

MS Corresponding Organizer: Dr. Mohsen Mirkhalaf ( University of Gothenburg , Sweden )

Mon, 03/06/2024
14:40 - 16:40
Room 1.10
MS148B

Chaired by:
Dr. Iuri Rocha (Delft University of Technology , Netherlands) , Dr. Ramin Bostanabad (UCI , United States)

Data augmentation for deep-learning modelling of composite materials
*P. Uvdal (University of Gothenburg), H. Cheung (Chalmers University of Technology), M. Mirkhalaf (University of Gothenburg)
Data-driven Permeability Prediction of 3D Fibrous Microstructures
*D. Natarajan (German Research Center for AI (DFKI)), T. Schmidt, S. Cassola, M. Nuske (German Research Center for AI (DFKI)), M. Duhovic, D. May, A. Dengel (German Research Center for AI (DFKI))
Keynote Machine Learning-Accelerated Predictions of Design Allowable of Composite Laminates
L. Fonseca (University of Porto), J. Ferreira (University of Porto), I. Lopes (INEGI), J. Esteves (University of Porto), F. Danzi (INEGI), *C. Furtado (University of Porto)