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
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Approximative optimal experimental design in Bayesian inversion
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Multilevel Quasi-Monte Carlo for interval analysis of non-linear numerical models
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Machine learned thermodynamically consistent material models with uncertainty quantification
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Arterial section analysis for patient-specific support of medical decision making
