Max Rietmann
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View article: Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction
Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Open
Computational Fluid Dynamics (CFD) is crucial for automotive design, requiring the analysis of large 3D point clouds to study how vehicle geometry affects pressure fields and drag forces. However, existing deep learning approaches for CFD …
View article: Fast-SNARF: A Fast Deformer for Articulated Neural Fields
Fast-SNARF: A Fast Deformer for Articulated Neural Fields Open
Neural fields have revolutionized the area of 3D reconstruction and novel view synthesis of rigid scenes. A key challenge in making such methods applicable to articulated objects, such as the human body, is to model the deformation of 3D l…
View article: NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework Open
We present SimNet, an AI-driven multi-physics simulation framework, to accelerate simulations across a wide range of disciplines in science and engineering. Compared to traditional numerical solvers, SimNet addresses a wide range of use ca…
View article: Modular and flexible spectral-element waveform modelling in two and three dimensions
Modular and flexible spectral-element waveform modelling in two and three dimensions Open
In this paper, we present a series of mathematical abstractions for seismologically relevant wave equations discretized using finite-element methods, and demonstrate how these abstractions can be implemented efficiently in computer code. O…