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Simulation-Assisted Colloidal Quantum Dot Solar Cell Band Alignment Using Two-Step Ionic Doping.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simulation-Assisted Colloidal Quantum Dot Solar Cell Band Alignment Using Two-Step Ionic Doping./
Author:	Bertens, Koen J.H.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	88 p.
Notes:	Source: Masters Abstracts International, Volume: 83-06.
Contained By:	Masters Abstracts International83-06.
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28540843
ISBN:	9798496543989

Simulation-Assisted Colloidal Quantum Dot Solar Cell Band Alignment Using Two-Step Ionic Doping.
Bertens, Koen J.H.

Simulation-Assisted Colloidal Quantum Dot Solar Cell Band Alignment Using Two-Step Ionic Doping. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 88 p.

Source: Masters Abstracts International, Volume: 83-06.

Thesis (M.A.S.)--University of Toronto (Canada), 2021.

This item must not be sold to any third party vendors.

Colloidal quantum dot (CQD) solar cells have tunable optoelectronic properties, enabling CQD solar cells to absorb solar radiation inaccessible to many existing liquid-processed semiconductors. I explore herein routes to increasing stability and performance in CQD solar cells through modifications of the active layer, aided by simulation and implemented experimentally. I find that the results of these simulations provide an avenue to improving device performance experimentally. Based on these results, I implement a fluoride ionic doping procedure which allows for greater control of doping characteristic of solar cells by inducing greater p-type characteristic. Based on this procedure, the improvements in VOC, FF, and PCE that I predicted via simulation are observed experimentally, with fluoride-doped devices showing a maximum performance of 12.7% AM1.5 PCE. This work showcases the potential of device simulations to assist in further device performance improvements and provides recommendations for a path to commercialization of CQD solar cells.

ISBN: 9798496543989Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Band alignment

Simulation-Assisted Colloidal Quantum Dot Solar Cell Band Alignment Using Two-Step Ionic Doping.
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245 1 0 $a Simulation-Assisted Colloidal Quantum Dot Solar Cell Band Alignment Using Two-Step Ionic Doping.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 88 p.
500 $a Source: Masters Abstracts International, Volume: 83-06.
500 $a Advisor: Sargent, Edward.
502 $a Thesis (M.A.S.)--University of Toronto (Canada), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Colloidal quantum dot (CQD) solar cells have tunable optoelectronic properties, enabling CQD solar cells to absorb solar radiation inaccessible to many existing liquid-processed semiconductors. I explore herein routes to increasing stability and performance in CQD solar cells through modifications of the active layer, aided by simulation and implemented experimentally. I find that the results of these simulations provide an avenue to improving device performance experimentally. Based on these results, I implement a fluoride ionic doping procedure which allows for greater control of doping characteristic of solar cells by inducing greater p-type characteristic. Based on this procedure, the improvements in VOC, FF, and PCE that I predicted via simulation are observed experimentally, with fluoride-doped devices showing a maximum performance of 12.7% AM1.5 PCE. This work showcases the potential of device simulations to assist in further device performance improvements and provides recommendations for a path to commercialization of CQD solar cells.
590 $a School code: 0779.
650 4 $a Electrical engineering. $3 649834
650 4 $a Materials science. $3 543314
650 4 $a Alternative energy. $3 3436775
653 $a Band alignment
653 $a Colloidal quantum dot
653 $a Fluoride doping
653 $a Scaps
653 $a Solar cell
653 $a Simulation
690 $a 0544
690 $a 0794
690 $a 0363
710 2 $a University of Toronto (Canada). $b Electrical and Computer Engineering. $3 2096349
773 0 $t Masters Abstracts International $g 83-06.
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791 $a M.A.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28540843