0573225 - FZÚ 2024 RIV US eng J - Journal Article
Chalupský, Jaromír - Vozda, Vojtěch - Hering, J. - Kybic, J. - Burian, Tomáš - Dziarzhytski, S. - Frantálová, Kateřina - Hájková, Věra - Jelínek, Šimon - Juha, Libor - Keitel, B. - Kuglerová, Zuzana - Kuhlmann, M. - Petryshak, B. - Ruiz-Lopez, M. - Vyšín, Luděk - Wodzinski, T. - Plönjes, E.
Deep learning for laser beam imprinting.
Optics Express. Roč. 31, č. 12 (2023), s. 19703-19721. ISSN 1094-4087
R&D Projects: GA ČR(CZ) GA20-08452S
EU Projects: European Commission(XE) 654148 - LASERLAB-EUROPE
Institutional support: RVO:68378271
Keywords : ablation imprinting methods * multi-layer convolutional neural network (U-Net) method employed for the first time
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 3.2, year: 2023 ; AIS: 0.723, rok: 2023
Method of publishing: Open access
DOI: https://doi.org/10.1364/OE.481776
Permanent Link: https://hdl.handle.net/11104/0343695