Physics-Informed Neural Networks for Charge Dynamics in Air

dc.contributor.authorKonradsson, Arni
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.examinerSerdyuk, Yuriy
dc.contributor.supervisorHjortstam, Olof
dc.date.accessioned2022-06-27T13:15:57Z
dc.date.available2022-06-27T13:15:57Z
dc.date.issued2022sv
dc.date.submitted2020
dc.identifier.coursecodeEENX30sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/304909
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.titlePhysics-Informed Neural Networks for Charge Dynamics in Airsv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc

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