David Wawrzyniak

David Wawrzyniak is a Ph.D. student at the chair of aerodynamics and fluid mechanics at TUM. He received his B.Sc. and M.Sc. in mechanical engineering from TUM in 2020 and 2022, respectively. He is currently focused on researching fully quantum and hybrid quantum-classical algorithms, as well as exploring quantum machine learning for fluid dynamics applications. His work also involves integrating these methods into the TorchLBM solver to access the benefits of both classical and quantum computing.
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Posts by David Wawrzyniak

Cross-section of a CFD image.
Data Center / Cloud Oct 11, 2024

Transforming CFD Simulations with ML Using NVIDIA PhysicsNeMo

Simulations play a critical role in advancing science and engineering, especially in the vast field of fluid dynamics. However, high-fidelity fluid simulations... 7 MIN READ