Physics Informed Neural Networks (PINNs)

Why take this course?
🌟 Course Title: Simulations with AI: Mastering Physics-Informed Neural Networks (PINNs) 📚
Headline: Unlock the Power of AI in Solving Complex Physical Problems with PINNs! 🚀
Description 🎓
What Skills Will You Learn? 🛠️
Course Curriculum Overview: 📖
We will delve into a series of hands-on tutorials that cover:
- Finite Difference Method (FDM) Numerical Solution for the 1D Heat Equation.
- FDM Numerical Solution for the 2D Burgers' Equation.
- Physics-Informed Neural Networks (PINNs) Solution for the 1D Burgers' Equation.
- PINNs Solution for the 2D Heat Equation.
- DeepXDE Solutions for the 1D Heat Equation and the 2D Navier-Stokes Equations.
This course is designed to be accessible to learners of all levels, from beginners to advanced practitioners. No prior experience in Machine Learning or Computational Engineering is required! Our step-by-step approach ensures that you build a strong foundation in both the theoretical and practical aspects of PINNs.
Let's embark on this exciting adventure of learning together and discover how AI can revolutionize the way we simulate and understand physical systems. 🤝✨
Enroll now to join Dr. Mohammad Samaracourse and transform your understanding of physics through the lens of artificial intelligence! 🚀🔬
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