Benjamin Sanderse

1. Energy-Conserving Neural Network for Turbulence Closure Modeling
   2023/01/31 by Toby van Gastelen, van Gastelen, Toby, Wouter Edeling +3 · 5 citations
   Engineering · Physics and Astronomy · #65Mxx (Primary) #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
2. Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications
   2021/11/24 by Nikolaj T. Mücke, Benjamin Sanderse, Mücke, Nikolaj T. +5 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
3. Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants
   2025/04/08 by Nikolaj T. Mücke, Benjamin Sanderse, Mücke, Nikolaj T. +1 · 5 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Music Technology and Sound Studies #Artificial Intelligence in Games
4. No pressure? Energy-consistent ROMs for the incompressible Navier-Stokes equations with time-dependent boundary conditions
   2022/12/22 by Henrik Rosenberger, Benjamin Sanderse, Rosenberger, Henrik +1 · 3 citations
   Engineering · Physics and Astronomy · #FOS: Mathematics #Fluid Dynamics and Vibration Analysis #Hydraulic and Pneumatic Systems #Model Reduction and Neural Networks #Numerical Analysis (math.NA)