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
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!
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
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?
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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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
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!
Love it, thank you! Also thank you and Crane for the BFF repo, great software!
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
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?
Hi, you can find the reference C++ implementation here: github.com/rohan-sawhney/zombie, GPU impl to follow
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?
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.
@@rohansawhney1583 ok understood, thank you!