Physics-informed surrogates for electromagnetic dynamics using Transformers and graph neural networks

Keyphrases

• Transformer 100%
• Graph Neural Network 100%
• Physics-informed 100%
• Transformer Neural Network 100%
• Electromagnetic Dynamic 100%
• Graph Convolutional Neural Network 80%
• Encoder 40%
• Decoder 40%
• Computational Resources 20%
• Plane Wave 20%
• Data-driven Model 20%
• Attribute Vector 20%
• Electromagnetic Scattering 20%
• Neighbor Node 20%
• Electromagnetic Propagation 20%
• FDTD Simulation 20%
• Network Update 20%
• Information Message 20%

Engineering

• Recurrent 100%
• Nodes 50%
• Plane Wave 50%
• Computational Resource 50%
• Neighboring Node 50%

Chemical Engineering

• Neural Network 100%