Standard
Harvard
Tarasov, D, Tyagunov, A & Milder, O 2022,
Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer. в T Simos, T Simos, T Simos, C Tsitouras, Z Kalogiratou & T Monovasilis (ред.),
International Conference of Computational Methods in Sciences and Engineering, ICCMSE 2021., 130008, AIP Conference Proceedings, Том. 2611, American Institute of Physics Inc., International Conference of Computational Methods in Sciences and Engineering 2021, ICCMSE 2021, Heraklion, Греция,
04/09/2021.
https://doi.org/10.1063/5.0119488
APA
Tarasov, D., Tyagunov, A., & Milder, O. (2022).
Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer. в T. Simos, T. Simos, T. Simos, C. Tsitouras, Z. Kalogiratou, & T. Monovasilis (Ред.),
International Conference of Computational Methods in Sciences and Engineering, ICCMSE 2021 [130008] (AIP Conference Proceedings; Том 2611). American Institute of Physics Inc..
https://doi.org/10.1063/5.0119488
Vancouver
Tarasov D, Tyagunov A, Milder O.
Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer. в Simos T, Simos T, Simos T, Tsitouras C, Kalogiratou Z, Monovasilis T, Редакторы, International Conference of Computational Methods in Sciences and Engineering, ICCMSE 2021. American Institute of Physics Inc. 2022. 130008. (AIP Conference Proceedings). doi: 10.1063/5.0119488
Author
BibTeX
@inproceedings{a898307d4ce14406a0205d7939751f76,
title = "Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer",
keywords = "artificial neural network, framework, Nickel superalloys, simulation, solvus temperature",
author = "Dmitry Tarasov and Andrey Tyagunov and Oleg Milder",
note = "Publisher Copyright: {\textcopyright} 2022 Author(s).; International Conference of Computational Methods in Sciences and Engineering 2021, ICCMSE 2021 ; Conference date: 04-09-2021 Through 07-09-2021",
year = "2022",
month = nov,
day = "23",
doi = "10.1063/5.0119488",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Theodore Simos and Theodore Simos and Theodore Simos and Charalambos Tsitouras and Zacharoula Kalogiratou and Theodore Monovasilis",
booktitle = "International Conference of Computational Methods in Sciences and Engineering, ICCMSE 2021",
address = "United States",
}
RIS
TY - GEN
T1 - Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer
AU - Tarasov, Dmitry
AU - Tyagunov, Andrey
AU - Milder, Oleg
N1 - Publisher Copyright:
© 2022 Author(s).
PY - 2022/11/23
Y1 - 2022/11/23
KW - artificial neural network
KW - framework
KW - Nickel superalloys
KW - simulation
KW - solvus temperature
UR - http://www.scopus.com/inward/record.url?scp=85143158745&partnerID=8YFLogxK
U2 - 10.1063/5.0119488
DO - 10.1063/5.0119488
M3 - Conference contribution
AN - SCOPUS:85143158745
T3 - AIP Conference Proceedings
BT - International Conference of Computational Methods in Sciences and Engineering, ICCMSE 2021
A2 - Simos, Theodore
A2 - Simos, Theodore
A2 - Simos, Theodore
A2 - Tsitouras, Charalambos
A2 - Kalogiratou, Zacharoula
A2 - Monovasilis, Theodore
PB - American Institute of Physics Inc.
T2 - International Conference of Computational Methods in Sciences and Engineering 2021, ICCMSE 2021
Y2 - 4 September 2021 through 7 September 2021
ER -