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• Cell division in deep material networks applied to multiscale strain localization modeling
• Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks
• Intelligent multiscale modeling of short fiber reinforced composites based on process-guided material database
• Presenting (virtually) at the 2020 LS-DYNA conference
• Deep material network and transfer learning - An application for multiscale short fiber composites
• Physics-based machine learning in materials modeling and multiscale simulation
• Intelligent multiscale simulation based on process-guided composite database
• New preprint on multiscale simulation and machine learning
• Deep material network with cohesive layers: Multi-stage training and interfacial failure analysis
• Paper on DMN and interfacial physics published in CMAME