MS103C Computational Challenges in Industry and Sustainable Development: Sampling, Surrogate and Multi-fidelity Models for Inverse Analysis, Uncertainty Quantification and Optimisation III
MS Corresponding Organizer: Dr. Matteo Giacomini (CIMNE - Universitat Politècnica de Catalunya, Barcelona)
Chaired by:
Dr. Matteo Giacomini (CIMNE - Universitat Politècnica de Catalunya, Barcelona , Spain) , Dr. Lorenzo Tamellini (CNR , Italy)
Dr. Matteo Giacomini (CIMNE - Universitat Politècnica de Catalunya, Barcelona , Spain) , Dr. Lorenzo Tamellini (CNR , Italy)
Scheduled presentations:
-
A Sequential Data-Integration Approach for Uncertainty Reduction in Hydro-Poromechanical Geoscience Models
M. Ferronato*, L. Gazzola, P. Teatini, C. Zoccarato -
Approximative optimal experimental design in Bayesian inversion
D. Duong* -
Multilevel Quasi-Monte Carlo for interval analysis of non-linear numerical models
R. Callens*, D. Moens, M. Faes -
Machine learned thermodynamically consistent material models with uncertainty quantification
R. Patel*, R. Villarreal, M. Jiang, R. Jones, S. Kramer -
Arterial section analysis for patient-specific support of medical decision making
P. Diez*, S. Gahima, M. Stefanati, J. Rodriguez-Matas, A. Garcia-Gonzalez