Thanks! We really admire the BlastNet projects as well and definitely see them as an influence.

This was a huge collaborative effort with too many contributors to list in one post, but it wouldn't have been possible without all of our teammates @polymathicai.bsky.social and elsewhere.

We hope that access to more realistic problems pushes the development of #AI4Science forward!

and many more! All data in the Well is stored in a uniform format and whether its 2D or 3D it's accessible through the same API. The Well additionally includes benchmarking tools such as baseline models, tensor-aware augmentations, and metric implementations:

To only recently described variations of non-Newtonian turbulence:

to orientation-dependent forcings in biological systems:

To high resolution vortices resulting from discontinuous initial conditions:

The dataset contains a wide range of challenges from chemistry, biology, fluids, astrophysics including difficulties spanning from sharp discontinuities in the coefficient fields:

The Well was curated in collaboration with domain experts and numerical software developers specifically to provide challenging dynamics reflective of practical scientific research while staying accessible to machine learning audiences in terms of resolution and geometry.