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0505764 - ÚI 2020 RIV NL eng J - Journal Article
Dropka, N. - Holeňa, Martin - Ecklebe, S. - Frank-Rotsch, C. - Winkler, J.
Fast Forecasting of VGF Crystal Growth Process by Dynamic Neural Networks.
Journal of Crystal Growth. Roč. 521, 1 September (2019), s. 9-14. ISSN 0022-0248. E-ISSN 1873-5002
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Computer simulation * Fluid flows * Gradient freeze technique
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 1.632, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.jcrysgro.2019.05.022
Permanent Link: http://hdl.handle.net/11104/0297153