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ΦFlow – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 7 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 12 October 2026).

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https://github.com/tum-pbs/PhiFlow Who cites this page
github.com
https://tum-pbs.github.io/PhiFlow/GPU_Execution.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Web_Interface.html?ref=danmackinlay.name
tum-pbs.github.io
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https://tum-pbs.github.io/PhiFlow/?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/phi/?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiML/?ref=danmackinlay.name
tum-pbs.github.io
https://www.youtube.com/watch?v=4nYwL8ZZDK8&t=0s&ref=danmackinlay.name
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https://tum-pbs.github.io/PhiFlow/phi/field/?ref=danmackinlay.name
tum-pbs.github.io
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tum-pbs.github.io
https://tum-pbs.github.io/PhiML/phiml/math/index.html?ref=danmackinlay.name
tum-pbs.github.io
https://www.youtube.com/watch?v=YRi_c0v3HKs&ref=danmackinlay.name
youtube.com
https://tum-pbs.github.io/PhiFlow/Fields.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Staggered_Grids.html
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/phi/math/index.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/phi/physics/?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Fluids_Tutorial.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Physics.html?ref=danmackinlay.name
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https://tum-pbs.github.io/PhiFlow/Fluid_Simulation.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Optimization.html?ref=danmackinlay.name
tum-pbs.github.io
https://physicsbaseddeeplearning.org/diffphys-code-burgers.html?ref=danmackinlay.name
physicsbaseddeeplearning.org
https://github.com/tum-pbs/PhiFlow/blob/develop/docs/Cookbook.ipynb?ref=danmackinlay.name
github.com
https://github.com/tum-pbs/PhiFlow/blob/develop/demos/train_remove_divergence.py?ref=danmackinlay.name
github.com
https://github.com/tum-pbs/PhiFlow/blob/develop/demos/differentiate_advection.py?ref=danmackinlay.name
github.com
https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/develop/docs/Fluids_Tutorial.ipynb?ref=danmackinlay.name
colab.research.google.com
https://github.com/tum-pbs/PhiFlow/issues/67?ref=danmackinlay.name
github.com
https://tum-pbs.github.io/PhiFlow/Visualization.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/phi/vis/?ref=danmackinlay.name
tum-pbs.github.io
https://colab.research.google.com/github/tum-pbs/PhiFlow/blob/2.2-develop/docs/Animations.ipynb?ref=danmackinlay.name
colab.research.google.com
https://github.com/tum-pbs/PhiFlow/blob/develop/docs/GPU_Execution.md?ref=danmackinlay.name
github.com
https://github.com/tum-pbs/PhiFlow/tree/master/demos?ref=danmackinlay.name
github.com
https://tum-pbs.github.io/PhiFlow/Cookbook.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Reading_and_Writing_Data.html?ref=danmackinlay.name
tum-pbs.github.io
https://tum-pbs.github.io/PhiFlow/Scene_Format_Specification.html?ref=danmackinlay.name
tum-pbs.github.io
https://physicsbaseddeeplearning.org
physicsbaseddeeplearning.org
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Data dashboards and ML demos – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name (opens in a new tab)
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Tracking experiments in data science – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name (opens in a new tab)
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