講演情報

[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)

キーワード:

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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