Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Reinforcement Learning - Sergey Litvinov,
at
APS DFD, Washington DC,
Tuesday, November 21, 2023
Presentations
Data assimilation for compressible flows by optimizing a discrete loss (ODIL) with automatic differentiation - Petr Karnakov,
at
APS DFD, Washington DC,
Monday, November 20, 2023:
Optimizing the Discrete Loss for the Solution for Inverse problems in fluid mechanics: multiresolution and automatic differentiation - Petros Koumoutsakos,
at
APS DFD, Washington DC,
Monday, November 20, 2023
Path planning of swimmers in complex flows with reinforcement learning - Lucas Amoudruz,
at
APS DFD, Washington DC,
Sunday, November 19, 2023:
Bayesian Uncertainty Quantification for Computational Mechanics at Scale - Sebastian Kaltenbach,
at
CSAI Trondheim,
Monday, August 28, 2023
Hierarchical Bayesian inference for a RBC model - Lucas Amoudruz,
at
SIAM UQ, Atlanta GA,
Tuesday, April 12, 2022:
Magnetic Navigation of Artificial Bacteria Flagella in Blood and Water - Lucas Amoudruz,
at
APS DFD, Phoenix AZ,
Sunday, November 21, 2021:
Machine Learning for Fluid Dynamics โ Petros Koumoutsakos,
at
Journal of Fluid Mechanics, Fluid Mechanics Webinar Series,
Friday, June 5, 2020
Korali, High-performance Framework for Bayesian Uncertainty Quantification and Optimization - Sergio Martin,
at
CSCS, Lugano, Switzerland,
Friday, December 13, 2019:
Deep Reinforcement Learning for Flow Control - Petros Koumoutsakos,
at
International Workshop on Data-Centric Engineering, Cambridge, USA,
Tuesday, December 10, 2019: