Research Group Nils Thuerey
Nils Thuerey
Prof. Dr.
Core PI
Nils Thuerey
is Professor for Physics-based Simulation at TU Munich.
He works in the field of computer graphics, with a particular emphasis on physics-based deep learning algorithm. One focus of his research targets the simulation of fluid phenomena, such as water and smoke. These simulations find applications as visual effects in computer generated worlds, but also in many fields of engineering. Examples of his work are novel algorithms to make simulations easier to control, to handle detailed surface tension effects, and to increase the amount of turbulent detail.
Team members @MCML
PhD Students
Kanishk Bhatia
→ Group Nils Thuerey
Physics-based Simulation
Felix Köhler
→ Group Nils Thuerey
Physics-based Simulation
Mohammad Rashed
→ Group Nils Thuerey
Physics-based Simulation
Recent News @MCML
Publications @MCML
2026
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub
2025
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. URL GitHub
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3).
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. Oral Presentation. DOI
Physically consistent and uncertainty-aware learning of spatiotemporal dynamics.
Preprint (Oct. 2025). arXiv
Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations.
4DVision @CVPR 2025 - Workshop on 4D Vision: Modeling the Dynamic World at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. arXiv
PRDP: Progressively Refined Differentiable Physics.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
2024
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. DOI GitHub
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2024-12-27 - Last modified: 2026-07-03