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0551587 - ÚFM 2022 RIV US eng J - Journal Article
Khalaj, O. - Jamshidi, M. - Saebnoori, E. - Mašek, B. - Stadler, C. - Svoboda, Jiří
Hybrid Machine Learning Techniques and Computational Mechanics: Estimating the Dynamic Behavior of Oxide Precipitation Hardened Steel.
IEEE Access. Roč. 9, neuvedeno (2021), s. 156930-156946. ISSN 2169-3536. E-ISSN 2169-3536
R&D Projects: GA ČR GX21-02203X
Institutional support: RVO:68081723
Keywords : oxide precipitation hardened (OPH) steels * tensile strength * artificial neural network (ANN)
OECD category: Thermodynamics
Impact factor: 3.476, year: 2021
Method of publishing: Open access
https://ieeexplore.ieee.org/document/9620029
Permanent Link: http://hdl.handle.net/11104/0328275