Presentation Information
[S1.13]Bidirectional Prediction of Microstructure–Property/Process Relationships in Advanced Structural Materials Using Deep Generative Models
*Zhang Xiaofan1, Inoue Junya1,2, Noguchi Satoshi3 (1. Eng., UTokyo、2. IIS, UTokyo、3. JAMSTEC)
Keywords:
Machine Learning,Generative Model,Structural Materials,Prediction,Process-structure-property
Introduces a unified deep learning framework to establish bidirectional process-structure-property (PSP) linkages within a single model.
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