- 👋 Hi, I’m @LeyuanWu
- 👀 I’m interested in scientific computing and machine learning.
- 🌱 I’m currently learning physics-informed neural networks (PINNs).
- 💞️ I’m looking to collaborate on gravity and magnetic field modleing of Earth and other Planets.
- 📫 You can find me at [email protected] or my ResearchGate profile https://www.researchgate.net/profile/Leyuan-Wu-2
-
Zhejiang University of Technology
- Hangzhou, China
-
18:50
(UTC +08:00)
Popular repositories Loading
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JunoMag_PINN_VP3
JunoMag_PINN_VP3 PublicModelling of Jupiter's magnetic field using Juno data and Physics Informed Neural Networks (PINN): Vector Potential using 3NNs (VP3) version
Jupyter Notebook 2
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Parker_GaussFFT_NUFFT
Parker_GaussFFT_NUFFT PublicData and code for the JGR paper "Modified Parker's method for gravitational forward and inverse modeling using general polyhedral models"
MATLAB 1
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polyhedron
polyhedron PublicForked from mdickinson/polyhedron
Robust point-in-polyhedron testing.
Python
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pinns-tf2
pinns-tf2 PublicForked from rezaakb/pinns-tf2
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
Python
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