
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 , Spain )
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:
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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