A process systems engineering approach for design of preferential crystallization of enantiomers: from experiments to machine learning through multi-objective optimization  Page description

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Details of project

  
Identifier
138475
Type FK
Principal investigator Szilágyi, Botond
Title in Hungarian Enantiomerek preferenciális kristályosításának tervezése folyamatmérnöki eszközökkel: kísérletektől a gépi tanulásig többcélú optimalizáláson keresztül
Title in English A process systems engineering approach for design of preferential crystallization of enantiomers: from experiments to machine learning through multi-objective optimization
Keywords in Hungarian kristályosítás, enantiomer, folyamatirányítás, folyamatmodellezés, optimalizálás, gépi tanulás
Keywords in English crystallization, enantiomer, process control, process modeling, optimization, machine learning
Discipline
Chemical Engineering (Council of Physical Sciences)60 %
Ortelius classification: Environmental chemistry
Automation and Computer Science (Council of Physical Sciences)20 %
Ortelius classification: Automation
Material Science and Technology (chemistry) (Council of Physical Sciences)20 %
Panel Chemistry 2
Department or equivalent Department of Organic Chemistry and Technology (Budapest University of Technology and Economics)
Participants Fogassy, Elemér
Galata, Dorián
Madarász, Lajos
Mészáros, Lilla Alexandra
Nagy, Brigitta
Pálovics, Emese
Pusztai, Éva
Starting date 2021-12-01
Closing date 2025-11-30
Funding (in million HUF) 39.955
FTE (full time equivalent) 12.37
state running project





 

Events of the project

  
2022-01-28 14:09:50
Résztvevők változása



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