4 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
RONOM: Reduced-Order Neural Operator Modeling
Sven Dummer, Dongwei Ye, Christoph Brune
Time-dependent partial differential equations are ubiquitous in physics-based modeling, but they remain computationally intensive in many-query scenarios, such as real-time forecas…
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians
Letian Huang, Dongwei Ye, Jialin Dan +7
The emergence of neural and Gaussian-based radiance field methods has led to considerable advancements in novel view synthesis and 3D object reconstruction. Nonetheless, specular r…
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Marc Fransen, Andreas Fürst, Deepak Tunuguntla +21
Micro-scale mechanisms, such as inter-particle and particle-fluid interactions, govern the behaviour of granular systems. While particle-scale simulations provide detailed insights…