Found a couple of resources for what they call Physics-Informed Neural Networks in Julia: https://mitmath.github.io/18337/lecture3/sciml.html https://mitmath.g

Found a couple of resources for what they call Physics-Informed Neural Networks in Julia: https://mitmath.github.io/18337/lecture3/sciml.html https://mitmath.github.io/18337/lecture3/sciml.html https://diffeqflux.sciml.ai/dev/ https://diffeqflux.sciml.ai/dev/ https://www.youtube.com/watch?v=HKJB0Bjo6tQ https://www.youtube.com/watch?v=HKJB0Bjo6tQ (Interpretable Deep Learning for Physics - I don't think there's any Julia in the video itself, but Miles Cranmer uses Julia for this work - he created SymbolicRegression.jl)