Comments (3)
I took a pass at some API improvements in #154. However, some other things (changing the capacity multiplier and the semantics for dr_threshold
) didn't make it in yet. I do think they are good suggestions and I hope to add them in next week. At some point (hopefully soon-ish) there will also be another round of neighbor list improvements that target better compatibility with periodic_general
and npt
simulations.
For reference, the idea behind scaling dr_threshold
was that max(sigma)
sort of sets the units for the problem. However, I also agree that there are use cases where that is not true and probably keeping dr_threshold
a scale free constant might be better in practice.
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Okay! Not quite a week, but as of version 0.1.22 dr_threshold
no longer scales with max(sigma)
and the neighbor list arguments have been threaded through all of the appropriate energy functions.
Let me know if you run into any issues! Thanks for the feedback.
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Awesome! I'll let you know if we run into any issues :)
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Related Issues (20)
- Brownian simulations break when dt <= ~3e-8
- Better documentation needed for quantity.pair_correlation and quantity.pair_correlation_neighbor_list HOT 1
- Potential implementation for space.periodic_general HOT 4
- neighborlist in non-orthorhombic systems HOT 3
- `jax_md` installation fails from pip install with python 3.11 HOT 1
- Feature Request: Improved execution time for bonds. HOT 2
- Is there a bug in the equivariant neural network notebook? HOT 1
- FireDescent is not implemented correctly
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- Readers of the paper may unintentionally access old code in the `master` branch
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- Error importing jax_md
- documentation not compiling HOT 1
- GPU memory leak when using soft_sphere_neighbor_list with epsilon species tensor
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- Proposal: Extending Jax MD with Monte Carlo Capabilities and Bonded Potentials HOT 7
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