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Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/123456789/3390
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dc.contributor.advisorPati, Swapan K-
dc.contributor.authorGarain, Bidhan Chandra-
dc.date.accessioned2024-02-28T06:23:13Z-
dc.date.available2024-02-28T06:23:13Z-
dc.date.issued2023-03-
dc.identifier.citationGarain, Bidhan Chandra. 2023, Computational perspectives on triplet exciton harvesting: a combined ab initio and machine learning investigation, Ph.D thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluruen_US
dc.identifier.urihttps://libjncir.jncasr.ac.in/xmlui/handle/123456789/3390-
dc.descriptionRestricted access upto (28-07-2025)en_US
dc.description.abstractAbstract not availableen_US
dc.language.isoenen_US
dc.publisherJawaharlal Nehru Centre for Advanced Scientific Researchen_US
dc.subjectMachine learning investigationen_US
dc.subjectTriplet exciton harvestingen_US
dc.titleComputational perspectives on triplet exciton harvesting: a combined ab initio and machine learning investigationen_US
dc.typeThesisen_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhDen_US
dc.publisher.departmentTSUen_US
Appears in Collections:Student Theses (TSU)

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