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Dear community,
Data-driven and physics-informed versions of deeponet may be used in different fields with their unique merits.
In my reseach, I have some data as well as some physics (PDE), so I wa…
ZPLai updated
5 months ago
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### Problem
Different mods might have to rely on what's the server default physics setting (e.g. to restore it), but there's no way to know what default is
### Solutions
Provide a `minetest.D…
Zughy updated
2 months ago
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Sorry to bother you, thank you for sharing your code.
I noticed that the output is a 2x2 grid. Could you please clarify the input grid size used in the model?
Best wishes to you!
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https://github.com/PredictiveIntelligenceLab/USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
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https://lyf35.github.io/2021/08/28/%E8%AE%BA%E6%96%87%E7%AC%94%E8%AE%B0-Physics-informed%20Neural%20Network/#more
哪怕什么真理无穷,进一寸有进一寸的欢喜
lyf35 updated
6 months ago
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Dear Authors,
I'm interesting in your paper "Physics-informed neural networks for inverse problems in nano-optics and metamaterials", in which you used DeepXDE lib. But I cannot find your code publ…
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I just want to know the mainly difference between static and dynamic in meshtype. Why the static is only used in 1D condition? The relative information in the paper "fPINNs: Fractional Physics-Inform…
TLDSZ updated
2 years ago
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I learned the hard bc of example diffusion_1d_exactBC, and your paper:PHYSICS-INFORMED NEURAL NETWORKS WITH HARD
CONSTRAINTS FOR INVERSE DESIGN∗, but I still can not apply hard bc to to other problem…
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Hi Lennart, super cool application of PINNs to the inverted pendulum. Replying to your question on my blog post (https://benmoseley.blog/my-research/so-what-is-a-physics-informed-neural-network/) here…
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Hi~
I am currently following a physics-informed work repo [Physics-informed nn](https://github.com/wuwushrek/physics_constrained_nn/issues/1) which use brax as a benchmark. In there they use `active_…