Neural networks in materials exploration - Computational thermodynamic screening of doped CaMnO3 with oxygen vacancies for chemical looping combustion

dc.contributor.authorJuhlin Onbeck, Alfred
dc.contributor.departmentChalmers tekniska högskola / Institutionen för rymd-, geo- och miljövetenskapsv
dc.contributor.departmentChalmers University of Technology / Department of Space, Earth and Environmenten
dc.contributor.examinerMattisson, Tobias
dc.contributor.supervisorGastaldi, Jonatan
dc.date.accessioned2025-07-07T05:42:23Z
dc.date.issued2025
dc.date.submitted
dc.identifier.coursecodeSEEX30
dc.identifier.urihttp://hdl.handle.net/20.500.12380/309997
dc.language.isoeng
dc.setspec.uppsokLifeEarthScience
dc.titleNeural networks in materials exploration - Computational thermodynamic screening of doped CaMnO3 with oxygen vacancies for chemical looping combustion
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmePhysics (MPPHS), MSc

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