Denoising diffusion models trained at web-scale have revolutionized image generation. The
application of these tools to engineering design is an intriguing possibility, but is currently …

We delve into the physics-informed neural reconstruction of smoke and obstacles through
sparse-view RGB videos, tackling challenges arising from limited observation of complex …

Engineers often need to work with three-dimensional (3D) representations of an object for
design, evaluation, and optimization. At the same time, computer vision researchers have …

In this paper, a novel surrogate model for shape-parametrized vehicle drag force prediction
is proposed. It is assumed that only a limited dataset of high-fidelity CFD results is available …

Sand dunes are iconic landmarks of deserts, but can also put human infrastructures at risk,
for instance by forming near buildings or roads. We present a simulator of sand erosion and …

In the field of new energy vehicle manufacturing, power batteries serve as fundamental
components. However, they currently face challenges in terms of storage and discharge …