Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks

Keyphrases

• Phase Coexistence 100%
• Physics-informed Neural Networks 100%
• Equilibrium Phase 66%
• Physics-informed 66%
• Neural Network 33%
• Relative Abundance 33%
• Phase Equilibria 33%
• Phase Separation 33%
• Computationally Intensive 33%
• Stable Region 33%
• Neural Network Architecture 33%
• Multicomponent Mixture 33%
• Machine Learning Workflow 33%
• Equilibrium Composition 33%
• Multi-component System 33%
• Thermodynamic Principles 33%
• Optimization Routine 33%
• Material Constraint 33%
• Machine Learning Prediction 33%
• Standard Neural Network 33%
• Minor Error 33%

Chemical Engineering

• Neural Network 100%
• Learning System 50%
• Phase Separation 25%