Boundary conditions for simulations of fluid flow and temperature field during ammonothermal crystal growth—a machine-learning assisted study of autoclave wall temperature distribution

Schimmel S, Tomida D, Saito M, Bao Q, Ishiguro T, Honda Y, Chichibu SF, Amano H (2021)

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2021

Journal

Crystals MDPI

Publisher: MDPI AG

Book Volume: 11

Pages Range: 1-27

Article Number: 254

Journal Issue: 3

DOI: 10.3390/cryst11030254

Authors with CRIS profile

Saskia Schimmel Lehrstuhl für Elektronische Bauelemente

Involved external institutions

Tohoku University JP Japan (JP) Nagoya University / 名古屋大学 JP Japan (JP)

How to cite

APA:

Schimmel, S., Tomida, D., Saito, M., Bao, Q., Ishiguro, T., Honda, Y.,... Amano, H. (2021). Boundary conditions for simulations of fluid flow and temperature field during ammonothermal crystal growth—a machine-learning assisted study of autoclave wall temperature distribution. Crystals, 11(3), 1-27. https://doi.org/10.3390/cryst11030254

MLA:

Schimmel, Saskia, et al. "Boundary conditions for simulations of fluid flow and temperature field during ammonothermal crystal growth—a machine-learning assisted study of autoclave wall temperature distribution." Crystals 11.3 (2021): 1-27.

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