Optimization of Flow Distribution by Topological Description and Machine Learning in Solution Growth of SiC-Reference-Cited by-同舟云学术

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Optimization of Flow Distribution by Topological Description and Machine Learning in Solution Growth of SiC

Published:2022-07-13 Issue:9 Volume:5 Page:2200302
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Isono Masaru¹,Harada Shunta¹²^ORCID,Kutsukake Kentaro³,Yokoyama Tomoo⁴,Tagawa Miho¹²,Ujihara Toru¹²

Affiliation:

1. Department of Materials Process Engineering Nagoya University Furo‐cho, Chikusa‐ku Nagoya 464‐8603 Japan

2. Institute of Materials and Systems for Sustainability (IMaSS) Nagoya University Furo‐cho, Chikusa‐ku Nagoya 464‐8601 Japan

3. Center for Advanced Intelligence Project RIKEN, Nihonbashi, Chuo‐ku Tokyo 103‐0027 Japan

4. Applied Mathematics and Physics Division Gifu University Yanagido 1‐1 Gifu 501‐1193 Japan

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202200302

Reference45 articles.

1. Fluid Flow Phenomena in Materials Processing—The 2000 Freeman Scholar Lecture

2. Computational Fluid Dynamics

3. Machine learning–accelerated computational fluid dynamics

4. High-speed prediction of computational fluid dynamics simulation in crystal growth

5. Geometrical design of a crystal growth system guided by a machine learning algorithm

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1. Optimizing the chemical vapor deposition process of 4H–SiC epitaxial layer growth with machine-learning-assisted multiphysics simulations;Case Studies in Thermal Engineering;2024-07

2. Optimizing the Chemical Vapor Deposition Process of 4h-Sic Epitaxial Layer Growth with Machine-Learning-Assisted Multiphysics Simulations;2024

3. Data-driven automated control algorithm for floating-zone crystal growth derived by reinforcement learning;Scientific Reports;2023-05-09

4. Data-driven automated control algorithm for floating-zone crystal growth derived by reinforcement learning;2023-02-21

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