Machine learning and computational approaches toward understanding and predicting yield and selectivities of organic reactions

dc.contributor.guide	Sunoj, R. B.
dc.coverage.spatial	Department of Chemistry
dc.creator.researcher	Singh, Sukriti
dc.date.accessioned	2023-01-15T07:46:04Z
dc.date.available	2023-01-15T07:46:04Z
dc.date.awarded	2022
dc.date.completed	2021
dc.date.registered	2014
dc.description.abstract	Abstract attached newline newline
dc.description.note	NA
dc.format.accompanyingmaterial	DVD
dc.format.dimensions	NA
dc.format.extent	NA
dc.identifier.uri	http://hdl.handle.net/10603/446730
dc.language	English
dc.publisher.institution	Department of Chemistry
dc.publisher.place	Mumbai
dc.publisher.university	Indian Institute of Technology Bombay
dc.relation	NA
dc.rights	university
dc.source.university	University
dc.subject.keyword	Chemistry
dc.subject.keyword	Chemistry Organic
dc.subject.keyword	Physical Sciences
dc.title	Machine learning and computational approaches toward understanding and predicting yield and selectivities of organic reactions
dc.title.alternative	Na
dc.type.degree	Ph.D.