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Massachusetts Institute of Technology

Semiconducting Devices and Nanomaterials: Insight from Computational Chemistry

Abstract

dc:description.abstract

In the past two decades, new technologies such as organic light emitting diodes (OLEDs) and quantum dots have emerged as promising candidates for applications from displays to solid state lighting. Many phenomenological and empirical models exist to explain the properties of these materials, and have succeeded in describing some of their properties. However, both of these systems have high degrees of disorder; for OLEDs, this manifests due to the molecular makeup of the emitting layer, and for quantum dots, due to their highly non-crystalline surface. Explaining properties that arise due to this disorder requires models that go beyond the phenomenological, in particular, it requires methods that can explicitly model the atoms and molecules causing disorder. In this thesis, we investigate the properties of quantum dot surfaces using density functional theory, which is an atomistic, all-electron electronic structure method. This allows us to identify specific features on the quantum dot surface and tie these features to the optical properties of the quantum dot. We find that undercoordinated surface atoms on the surface of CdSe can cause optical traps even when there are no traps in the ground state band structure, show that surface reorganization and annealing can significantly improve the optical properties of CdSe, and also explore sources of traps in CdSe/CdS core/shell quantum dots. In addition, we develop a model for OLED kinetics, which is able to incorporate the effects of molecular disorder but is very computationally efficient. We show that this model can extract molecular rate constants from a device-level measurement, and can help identify sources of efficiency loss in OLED devices.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Chemistry
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • McIsaac, Alexandra Ross
Advisor dc:contributor.advisor
  • Van Voorhis, Troy

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/144092
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/144092

Chain of custody

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

McIsaac, Alexandra Ross. Semiconducting Devices and Nanomaterials: Insight from Computational Chemistry. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/144092