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The Design of Perovskites for Light-Emitting Applications.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Design of Perovskites for Light-Emitting Applications./
作者:
Todorovic, Petar.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
139 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:
Dissertations Abstracts International83-02B.
標題:
Nanotechnology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28418477
ISBN:
9798522945107
The Design of Perovskites for Light-Emitting Applications.
Todorovic, Petar.
The Design of Perovskites for Light-Emitting Applications.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 139 p.
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Thesis (Ph.D.)--University of Toronto (Canada), 2021.
This item must not be sold to any third party vendors.
In the last decade, perovskite quantum dots have emerged as next-generation active materials for optoelectronics. They have tunable bandgaps, good charge carrier mobility and low defect density, and are readily synthesized. They exhibit high photoluminescence quantum yields and bandgaps tuned throughout the visible range via compositional engineering and nanostructure modulation. This positions perovskites for applications in red, green and blue light-emitting diodes. They must achieve narrow emission linewidths, as well as increased stability and efficiencies under operating conditions, to realize their potential in displays.In this thesis, I explore the design and prediction of novel perovskite materials through experimental and computational methods; and I find new optoelectronic materials with promise as narrowband light-emitters. Mixed anion approaches used by prior researchers to tune bandgap suffer from halide segregation and resultant spectral instability. I designed a mixed cation strategy whereby Rb+ is directly incorporated during synthesis into CsPbBr3 nanocrystals, forming the alloyed RbxCs1-xPbBr3. This resulted in tunable blue-emitting perovskite quantum dots and devices with stable photoluminescence and electroluminescence ranging from 460 - 500 nm and narrow emission linewidths (< 25 nm).I then investigated how a materials processing strategy involving dynamic post-synthesis organic phosphoryl treatment enables precise control of the distribution of nanostructured morphologies. I found that devices fabricated using the treatment exhibited improved spectral stabilities during operation, as well as record high efficiencies in blue. Finally, I investigate the application of machine learning to accelerate materials discovery, focusing in particular on ternary perovskite systems. I design deep neural network models that predict the bandgap accurately, and then use these for a rapid materials search aided by an evolutionary algorithm. Through feature analysis, I develop interpretable design rules from the resulting candidates, finding these to be predictive of the structural and optical properties. This enables the experimental realization of a set of novel perovskite UV-semiconductors with narrow emission linewidths and small Stokes shift.
ISBN: 9798522945107Subjects--Topical Terms:
526235
Nanotechnology.
Subjects--Index Terms:
Machine learning
The Design of Perovskites for Light-Emitting Applications.
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In the last decade, perovskite quantum dots have emerged as next-generation active materials for optoelectronics. They have tunable bandgaps, good charge carrier mobility and low defect density, and are readily synthesized. They exhibit high photoluminescence quantum yields and bandgaps tuned throughout the visible range via compositional engineering and nanostructure modulation. This positions perovskites for applications in red, green and blue light-emitting diodes. They must achieve narrow emission linewidths, as well as increased stability and efficiencies under operating conditions, to realize their potential in displays.In this thesis, I explore the design and prediction of novel perovskite materials through experimental and computational methods; and I find new optoelectronic materials with promise as narrowband light-emitters. Mixed anion approaches used by prior researchers to tune bandgap suffer from halide segregation and resultant spectral instability. I designed a mixed cation strategy whereby Rb+ is directly incorporated during synthesis into CsPbBr3 nanocrystals, forming the alloyed RbxCs1-xPbBr3. This resulted in tunable blue-emitting perovskite quantum dots and devices with stable photoluminescence and electroluminescence ranging from 460 - 500 nm and narrow emission linewidths (< 25 nm).I then investigated how a materials processing strategy involving dynamic post-synthesis organic phosphoryl treatment enables precise control of the distribution of nanostructured morphologies. I found that devices fabricated using the treatment exhibited improved spectral stabilities during operation, as well as record high efficiencies in blue. Finally, I investigate the application of machine learning to accelerate materials discovery, focusing in particular on ternary perovskite systems. I design deep neural network models that predict the bandgap accurately, and then use these for a rapid materials search aided by an evolutionary algorithm. Through feature analysis, I develop interpretable design rules from the resulting candidates, finding these to be predictive of the structural and optical properties. This enables the experimental realization of a set of novel perovskite UV-semiconductors with narrow emission linewidths and small Stokes shift.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28418477
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