Acoustic cavitation and chemical kinetics: the role of GPU programming and machine learning in the scale-up of sonochemical reactors  Page description

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Details of project

  
Identifier
142376
Type FK
Principal investigator Hegedűs, Ferenc
Title in Hungarian Akusztikus kavitáció és reakciókinetika: GPU programozás és gépi tanulás szerepe szonokémiai reaktorok felskálázásában
Title in English Acoustic cavitation and chemical kinetics: the role of GPU programming and machine learning in the scale-up of sonochemical reactors
Keywords in Hungarian akusztikus kavitáció, szonokémia, buborék dinamika, GPU programozás, gépi tanulás
Keywords in English acoustic cavitation, sonochemistry, bubble dynamics, GPU programming, machine learning
Discipline
Flow and Thermal Technology (Council of Physical Sciences)100 %
Panel Engineering, Metallurgy, Architecture and Transport Sciences
Department or equivalent Department of Hydrodinamic Systems (Budapest University of Technology and Economics)
Participants Hajgató, Gergely
Kalmár, Csanád
Papp, Máté
Starting date 2022-09-01
Closing date 2026-08-31
Funding (in million HUF) 35.794
FTE (full time equivalent) 2.68
state running project





 

Events of the project

  
2023-01-23 09:20:28
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