A Convex Route to Thermomechanics: Learning Internal Energy and Dissipation
📰 ArXiv cs.AI
Physics-based neural network framework for discovering constitutive models in thermomechanics
Action Steps
- Define internal energy and dissipation potential as primary constitutive functions
- Express these functions in terms of deformation and entropy
- Avoid enforcing mixed convexity-concavity conditions using the proposed framework
- Apply the framework to discover constitutive models in fully coupled thermomechanics
Who Needs to Know This
ML researchers and engineers working on physics-informed neural networks can benefit from this framework to model complex thermomechanical systems, and software engineers can apply this knowledge to develop more accurate simulations
Key Insight
💡 Using internal energy and dissipation potential as primary constitutive functions simplifies the modeling of thermomechanical systems
Share This
💡 Physics-informed neural networks for thermomechanics!
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