General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations

1. 1Understand the limitations of existing methods such as physics-informed neural networks (PINNs)
2. 2Recognize the importance of accounting for potential properties of real solutions
3. 3Implement the General Explicit Network (GEN) architecture to solve partial differential equations
4. 4Evaluate the performance of GEN against existing methods

Researchers and engineers working on solving partial differential equations can benefit from this architecture, as it has the potential to improve the accuracy and efficiency of solutions

💡 The General Explicit Network (GEN) architecture has the potential to improve the accuracy and efficiency of solving partial differential equations

🚀 Introducing GEN: a novel deep learning architecture for solving partial differential equations! 🤖