硅“VMCz”晶体生长过程中熔体输运结构的物理信息神经网络快速预测

IF 0.6 4区 工程技术 Q4 ENGINEERING, CHEMICAL
Yuto Takehara, Y. Okano, S. Dost
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引用次数: 0

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Fast Prediction of Transport Structures in the Melt by Physics Informed Neural Networks during ‘VMCz’ Crystal Growth of Silicon
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来源期刊
Journal of Chemical Engineering of Japan
Journal of Chemical Engineering of Japan 工程技术-工程:化工
CiteScore
1.70
自引率
12.50%
发文量
51
审稿时长
1.9 months
期刊介绍: The Journal of Chemical Engineering of Japan (JCEJ) is a monthly publication in English of the Society of Chemical Engineers, Japan. The first issue appeared in 1968. JCEJ publishes timely original research in the broad field of chemical engineering ranging from fundamental principles to practical applications. JCEJ is an international research journal and invites your contributions and subscriptions. All areas of chemical engineering are covered, including: Physical Properties and Physical Chemistry, Transport Phenomena and Fluid Engineering, Particle Engineering, Separation Engineering, Thermal Engineering, Chemical Reaction Engineering, Process Systems Engineering and Safety, Biochemical, Food and Medical Engineering, Micro and Nano Systems, Materials Engineering and Interfacial Phenomena, Energy, Environment, and Engineering Education.
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