No-code GUI for Physics-Informed Neural Networks (PINNs)
deep-learningpytorchcomputational-sciencespinnpde-solverscientific-machine-learningpyqt6physics-informed-neural-networksdeepxde
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Updated
Sep 1, 2026 - Python
No-code GUI for Physics-Informed Neural Networks (PINNs)
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Interactive Streamlit application for exploring, comparing, and analyzing stochastic 3D root architecture simulations.
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Curated collection of resources for computational materials science
Reproducible scientific-computing framework for stochastic 3D root architecture simulation, quantitative analysis, and scalable Monte Carlo experiments.
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