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NEW!
ECCOMAS 2022
06 June 2022 11:00 - 13:00
Add
Machine Learning and Data-Driven Approaches for Aerodynamic Analysis and Uncertainty Quantification
Minisymposium organized by Esther Andrés
Room:
Spitsbergen
MS86A
Chair: Esther Andrés
Data-Driven Reduced Order Modeling for Aerodynamic Flow Predictions
Derrick A. Hines Chaves and
Philipp Bekemeyer
Comparison of uncertainty quantification methods for mathematical problems in intermediate dimensions
Jacques Peter
and Quentin Bennehard
A comparison of machine learning methods for pressure coefficient prediction of an aeronautical configuration
Alejandro Gorgues, Rodrigo Castellanos, Jaime Bowen and
Esther Andrés
Reynolds stress correction by machine learning methods with physical constraints
Thomas Philibert
, Andrea Ferrero, Angelo Iollo and Francesco Larocca
MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data
Alexander Ruettgers
and Anna Petrarolo
Neural network prediction of the flow field in a periodic domain with hyper-neural network parametrization
Ondřej Bublík
, Václav Heidler, Aleš Pecka and Jan Vimmr
Welcome
Organizers
Conference Chairmen
Conference Organizers
Organizing Committees
Scientific Committee
About ECCOMAS
Invited Lecturers
Venue
Registration Fees
Scientific Programme
Programme Overview
Technical Programme
Full Programme in PDF
Programme Search
PL/SPL Sessions
List of Minisymposia
Special Technology Sessions
ECCOMAS Young Investigator Activities
ECCOMAS Olympiad
Practical Information
Presentations
Instructions for Authors
Lunch Options
NFC Tags
About Oslo
COVID-19
Visa Information
Social Programme
Conference Secretariat
Congress Proceedings
NEW!