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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : 竹原 悠人 : 1 program

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Authors and Chairs (J) field exact matches “竹原 悠人”; 1 program is found.
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TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 3
15:0015:20
DC319[Featured presentation] Development of digital twin of the bulk single crystal growth of Si by using PINNs (Physics Informed Neural Networks)
(Osaka U.) *(Stu)Takehara Yuto, (Reg)Okano Yasunori
Digital twin
Machine learning
Physics Informed Neural Networks
ST-21396

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SCEJ 53rd Autumn Meeting (Nagano, 2022)


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