Miroslav Kuchta

1. Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
   2019/02/20 by Jean Rabault, Miroslav Kuchta, Atle Jensen +2 · 58 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis
2. Investigating molecular transport in the human brain from MRI with physics-informed neural networks
   2022/05/05 by Bastian Zapf, Zapf, Bastian, Johannes Haubner +9 · 3 citations
   Mathematics · Medicine · Physics and Astronomy · #49M41 #65L09 #Advanced MRI Techniques and Applications #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Optimization and Control (math.OC)
3. An Observation On The Uniform Preconditioners For The Mixed Darcy\n Problem
   2018/12/03 by Trygve Bærland, Bærland, Trygve, Miroslav Kuchta +5 · 2 citations
   Engineering · Physics and Astronomy · #65F08 #65N12 #65N30 #Advanced Numerical Methods in Computational Mathematics #Electromagnetic Scattering and Analysis #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods in engineering
4. The modelling error in multi-dimensional time-dependent solute transport models
   2023/03/31 by Rami Masri, Marius Zeinhofer, Masri, Rami +5 · 2 citations
   Environmental Science · Computer Science · Mathematics · #Groundwater flow and contamination studies #Advanced Mathematical Modeling in Engineering #Mathematical Biology Tumor Growth