Unravelling loss mechanisms in non-fullerene organic solar cells integrating data-driven machine learning and experimental approaches

dc.contributor.authorSuthar, Rakesh
dc.date.accessioned2024-12-20T11:35:17Z
dc.date.issued2024-09-01
dc.identifier.urihttp://ir.iitd.ac.in/handle/123456789/5810
dc.language.isoen
dc.publisherIIT Delhi
dc.subjectData-driven machine learning framework
dc.subjectFrontier molecular orbital descriptors
dc.subjectSolar cell characteristics
dc.subjectPlasmonic solar cell Finite -difference time domain simulations
dc.titleUnravelling loss mechanisms in non-fullerene organic solar cells integrating data-driven machine learning and experimental approaches
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
TH-7910.pdf
Size:
862.59 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: