Enhancing Entrainment Modeling of Fluidized Bed Reactors Using Physics Informed Machine Learning
| dc.contributor.author | Guné, Lucas | |
| dc.contributor.author | Hellsten, Herman | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för kemi och kemiteknik | sv |
| dc.contributor.department | Chalmers University of Technology / Department of Chemistry and Chemical Engineering | en |
| dc.contributor.examiner | Wei Chew, Jia | |
| dc.contributor.supervisor | Andersson, Ronnie | |
| dc.date.accessioned | 2026-08-10T11:48:35Z | |
| dc.date.issued | 2026 | |
| dc.date.submitted | ||
| dc.identifier.coursecode | KBTX12 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/312103 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | PhysicsChemistryMaths | |
| dc.title | Enhancing Entrainment Modeling of Fluidized Bed Reactors Using Physics Informed Machine Learning | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Innovative and sustainable chemical engineering (MPISC), MSc |
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