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A comparative study of dimensional and non-dimensional inputs in physics-informed and data-driven neural networks for single-droplet evaporation
Malekjani, Narjes ; Kharaghani, Abdolreza ; Tsotsas, EvangelosChemical engineering science - Amsterdam [u.a.] : Elsevier Science, Bd. 306 (2025), Artikel 121214, insges. 14 S.
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Evangelos Tsotsas is Chair of Thermal Process Engineering since 1994. He has a PhD (1985) and a habilitation (1990) from Karlsruhe Institute of Technology, and was Senior Process Specialist at Dow Chemical from 1991 to 1994. With many PhD and postdoc researchers, he works is on drying, and on particle formulation processes, such as spray fluidized bed agglomeration, granulation and coating. The group has extensive experimental facilities in these fields, including various types of particle characterization, 3D imaging and process monitoring. Novel discrete models (pore networks for wetting and drying, Monte-Carlo for particulate processes, thermal DEM, combinations of DEM with CFD and volume of fluid), but also continuous approaches (such as population balances) belong to the research portfolio of the group. Tsotsas has authored about 500 ...