Qiang Liu

I am a PhD student supervised by Prof. Nils Thuerey at the Technical University of Munich. My research interest focuses on physics-based deep learning methods and advanced technologies for fluid simulations. Currently, I am working on leveraging the Denoising Diffusion Probabilistic Model (DDPM) for physical applications. DDPM has emerged as a state-of-the-art generative model, demonstrating superior performance in synthesizing impressive results across various domains. My study emphasizes utilizing DDPM’s capability to reconstruct diverse probability distributions accurately for studying physical problems involving uncertainty. Meanwhile, by integrating existing physical knowledge into the training of the diffusion model, I aim to elevate DDPM into a cutting-edge generative model for complex physical systems.

I use to work with Prof Jian Wu on Electrohydrodynamics at Harbin Institute of Technology.