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.
コメント
コメントの閲覧・投稿にはログインが必要です。ログイン