Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials.
Daniele LanzoniAndrea FantasiaRoberto BergamaschiniOlivier Pierre-LouisFrancesco MontalentiPublished in: CoRR (2024)
Keyphrases
- neural network
- mechanical properties
- pattern recognition
- computer science
- thermal conductivity
- fuzzy logic
- artificial intelligence
- artificial neural networks
- neural network model
- learning capabilities
- neural nets
- fault diagnosis
- path consistency
- activation function
- database
- composite materials
- genetic algorithm
- consistency checking
- free energy
- processing capabilities
- temporal evolution
- software evolution
- fuzzy neural network
- fuzzy systems
- incomplete data
- associative memory
- learning materials
- back propagation
- learning algorithm