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NEW!
ECCOMAS 2022
08 June 2022 14:00 - 16:00
Add
Data-driven numerical and reduced order modeling of flows II
Minisymposium organized by Nikolaus Adams and Jörg Schumacher
Room:
Oslo 2 (GF)
MS19B
Chair: Nikolaus Adams
Reinforcement learning for discretization-aware LES models
Marius Kurz
and Andrea Beck
Correcting the discretization error of coarse grid CFD simulations with machine learning
Anna Kiener
, Stefan Langer and Philipp Bekemeyer
Learning and Inference assisted by Feature Space Engineering (LIFE): A generalizable approach for data-driven augmentation of Physical Models
Karthik Duraisamy
, Vishal Srivastava and Niloy Gupta
Data set generation at novel test-rig for validation of numerical models using in-house algorithms
Agata Widuch
, Marcin Nowak, Dawid Sukiennik, Kari Myöhänen, Markku Nikku, Alessandro Parente and Wojciech Adamczyk
Solving partial differential equations using physics informed cascade neural network
Seyedalborz Manavi
, Ehsan Fattahi and Thomas Becker
Exploration of data-driven numerical methods for fluid flows by end-to-end optimization
Aaron Buhendwa
, Deniz Bezgin and Nikolaus Adams
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!