ECCOMAS 2022

8/6/22    14:00 - 16:00
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