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0576081 - ÚI 2025 DE eng J - Journal Article
Dropka, N. - Holeňa, Martin - Thieme, C. - Chou, T.-S.
Development of the VGF Crystal Growth Recipe: Intelligent Solutions of Ill-Posed Inverse Problems using Images and Numerical Data.
Crystal Research and Technology. Online first 23 August 2023 (2024). ISSN 0232-1300. E-ISSN 1521-4079
Institutional support: RVO:67985807
Keywords : artificial neural networks * image data * inverse problems * Kriging * numerical data * reduced order modelling * VGF growth
Impact factor: 1.5, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.1002/crat.202300125
Permanent Link: https://hdl.handle.net/11104/0345705