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Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning.

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第一作者： Jie,Chen

第一单位： Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.

作者： Jie,Chen ^[1] ; Yongming,Liu ^[2]

作者单位： Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA. ^[1] School for Engineering of Matter, Transport, and Energy,Arizona State University, Tempe, AZ 85287, USA. ^[2]

关键词 additive manufacturing fatigue neural networks optimization process

DOI 10.1098/rsta.2022.0405

PMID 37742708

发布时间 2023-09-24

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Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

2023年381卷2260期

20220405页

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Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

2023年381卷2260期

20220405页

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Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

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Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

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Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

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