Dang, you've come so far in such a short time! And all those Recent Works at the end are amazing too. Y'all really seem to have opened up a rabbit hole by rediscovering, modernizing, and extending this walk-on-spheres algorithm
@jurajfulir1232
11 ай бұрын
Amazing work on the method, but also on its presentation! It was a real delight learning about all the different connections with similar methods and the demonstrations of the wide and important applications it enables. Really inspiring work!
@thouys9069
9 ай бұрын
Love it, thank you! Also thank you and Crane for the BFF repo, great software!
@matterwave2331
Жыл бұрын
I fall in love with MC method coding effusion simulation in molecular flow (for R&D purposes). This is beyond my reach but still very interesting. Thanks for the nice talk
@srinathisweary
Жыл бұрын
This is so interesting, I'd love to compare it with our codes for distributed boundary element methods (BEMPP) for general 3D problems. Do you guys have a reference implementation?
@rohansawhney1583
Жыл бұрын
Hi, you can find the reference C++ implementation here: github.com/rohan-sawhney/zombie, GPU impl to follow
@andresross1537
8 ай бұрын
Hi, so I'm confused by something. How are you storing the representation of a piece of toast or some other random shape if not with a mesh?
@rohansawhney1583
8 ай бұрын
A lot of the examples in the talk use triangle meshes to represent the boundary of the domain. Unlike standard grid-based PDE solvers, they do not however use e.g., tetrahedral meshes for the interior of the domain---with MC solvers, the interior does not have to be meshed.
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