Andrius Ambrutis

Laboratory of Nuclear Installation Safety (17)
Position:
PhD student + Junior Research Associate
Room number:
255-AK
Phone number:
+37037401920

Publications

Scientific article

2024

Ambrutis A. [LEI], Povilaitis M. [LEI]. Composite rating method: Application to European basketball leagues In: Journal of Sports Sciences. Abingdon: Taylor & Francis, 2024, Vol. 42, Iss. 3, p. 201-214. ISSN 0264-0414.

2022

Ambrutis A. [LEI], Povilaitis M. [LEI]. Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity In: Applied sciences. London: MDPI, 2022, Vol. 12, Iss. 15, 7460, p. 1-16. ISSN 2314-8535, eISSN 2314-8543.

Conference paper

2024

Ambrutis A. [LEI], Povilaitis M. [LEI]. Analysing an ANN model for laminar burning velocity: strategies for improvement In: CYSENI' 2024: 20th international conference of young scientists on energy and natural sciences issues, 21-23 May, 2024 [proceedings]. Kaunas: Lietuvos energetikos institutas, 2024, p. 81-81. ISSN 2783-6339.

2023

Ambrutis A. [LEI], Povilaitis M. [LEI]. Development of hydrogen turbulent flame speed ANN intended for the CFD applications In: Proceedings of the 2023 30th International Conference on Nuclear Engineering ICONE30 . Kyoto: The Japan Society of Mechanical Engineers, 2023, p. 1-5..

2022

Povilaitis M. [LEI], Jaseliūnaitė J. [LEI], Ambrutis A. [LEI]. Development of turbulent hydrogen combustion CFD solver for OpenFOAM In: Proceeding book The 13th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation and Safety (NUTHOS 13) Hsinchu, Taiwan, September 5-10, 2022. Taichung, Taiwan (virtual): National Tsing HUA University, 2022, N13P167, p. 1-12..
Ambrutis A. [LEI]. ANN LBV model implementation into flamefoam solver In: CYSENI 2022: 18th international conference of young scientists on energy and natural sciences issues, 24-27 May 2022, Kaunas, Lithuania. Kaunas: Lithuanian Energy Institute, 2022, p. 298-301. ISSN 2783-6339.

2021

Ambrutis A. [LEI], Povilaitis M. [LEI]. Laminar burning velocity estimation using deep neural network In: The 17th International Conference of Young Scientists on Energy and Natural Sciences Issues (CYSENI 2021) Kaunas, Lithuania, May 24-28, 2021. Kaunas: Lietuvos energetikos institutas, 2021, p. 393-402. ISSN 1822-7554.