Enhancing Entrainment Modeling of Fluidized Bed Reactors Using Physics Informed Machine Learning

dc.contributor.authorGuné, Lucas
dc.contributor.authorHellsten, Herman
dc.contributor.departmentChalmers tekniska högskola / Institutionen för kemi och kemitekniksv
dc.contributor.departmentChalmers University of Technology / Department of Chemistry and Chemical Engineeringen
dc.contributor.examinerWei Chew, Jia
dc.contributor.supervisorAndersson, Ronnie
dc.date.accessioned2026-08-10T11:48:35Z
dc.date.issued2026
dc.date.submitted
dc.identifier.coursecodeKBTX12
dc.identifier.urihttps://hdl.handle.net/20.500.12380/312103
dc.language.isoeng
dc.setspec.uppsokPhysicsChemistryMaths
dc.titleEnhancing Entrainment Modeling of Fluidized Bed Reactors Using Physics Informed Machine Learning
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeInnovative and sustainable chemical engineering (MPISC), MSc

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