Physics-Informed Neural Networks for Charge Dynamics in Air
dc.contributor.author | Konradsson, Arni | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
dc.contributor.examiner | Serdyuk, Yuriy | |
dc.contributor.supervisor | Hjortstam, Olof | |
dc.date.accessioned | 2022-06-27T13:15:57Z | |
dc.date.available | 2022-06-27T13:15:57Z | |
dc.date.issued | 2022 | sv |
dc.date.submitted | 2020 | |
dc.identifier.coursecode | EENX30 | sv |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/304909 | |
dc.language.iso | eng | sv |
dc.setspec.uppsok | Technology | |
dc.title | Physics-Informed Neural Networks for Charge Dynamics in Air | sv |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.uppsok | H | |
local.programme | Complex adaptive systems (MPCAS), MSc |
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