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Massachusetts Institute of Technology

Excitonic spin engineering for solar cells and organic light-emitting diodes

Abstract

dc:description.abstract

The last two decades have seen renewed interest in molecular organic semiconductors. Since these materials support the formation of excitons, their behavior differs considerably from their inorganic counterparts. This gives rise to a variety of novel properties that can be exploited to create entirely new or improve existing optoelectronic devices. In this thesis, we explore excitonic concepts for improving both organic-light emitting diodes (OLEDs) and silicon solar cells. OLEDs are already commercially successful. However they still suffer from several major drawbacks. Multiexcited-state phenomena are believed to be the root cause of challenges like efficiency roll-off and degradation. The development of novel strategies to reduce exciton densities under heavy load is therefore highly desirable.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Einzinger, Markus.
Advisor dc:contributor.advisor
  • Marc A. Baldo.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/128410
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/128410

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Einzinger, Markus.. Excitonic spin engineering for solar cells and organic light-emitting diodes. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128410