One Pot Synthesis of Cyan Emitting CdZnSSe Quantum Dots for Human Centric Lighting

A one pot synthesis of blue and green emissive CdZnSSe quantum dots (QDs) from thio- and selenoureas and Cd and Zn carboxylates is optimized using high throughput robotic optimization. A large set of spectral data (N = 192) is used to train machine learning models that accurately predict the photoluminescence emission wavelength (λmax) and full-width half-maximum, and the relative photoluminescence quantum yield (PLQY) from the S:Se and Zn:Cd stoichiometries and reaction time. ZnS shells are deposited on the crude QD heterostructures using 4-tert-butylbenzyl mercaptan, a more reactive source of sulfide that enables shell growth below the temperature where ion diffusion in the QD can broaden its optical spectrum (≤275 °C). These optimized procedures provide gram quantities of blue-green emitting QDs (PLQY = 85–99%) in a single reaction vessel. A solid state lighting device (4260 K) that incorporates cyan emissive QDs achieved a higher luminous efficacy of 179 lm/W and melanopic daylight efficiency ratio (0.71) than existing commercial human centric lighting devices.

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Publication Details

Journal
The Journal of Physical Chemistry C
Published
2024-12-19
DOI
https://doi.org/10.1021/acs.jpcc.4c07446
Citations
1
Primary Topic
Quantum Dots Synthesis And Properties
Type
article
Field-Weighted Citation Impact
0.12

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article

One Pot Synthesis of Cyan Emitting CdZnSSe Quantum Dots for Human Centric Lighting

Ayelet Teitelboim, Jonathan S. Owen, Emory M. Chan, Iva Rreza et al.
1 citations
The Journal of Physical Chemistry C
Quantum Dots Synthesis And Properties
0.12
article

One Pot Synthesis of Cyan Emitting CdZnSSe Quantum Dots for Human Centric Lighting

Ayelet Teitelboim, Jonathan S. Owen, Emory M. Chan, Iva Rreza, Ellie Bennett, Bereket Zekarias, Abraham J. Jordan, Dejun Han, Zhuolei Zhang, Brian Theobald, Leslie Guadalupe Castro
article en
1 citations

Abstract

A one pot synthesis of blue and green emissive CdZnSSe quantum dots (QDs) from thio- and selenoureas and Cd and Zn carboxylates is optimized using high throughput robotic optimization. A large set of spectral data (N = 192) is used to train machine learning models that accurately predict the photoluminescence emission wavelength (λmax) and full-width half-maximum, and the relative photoluminescence quantum yield (PLQY) from the S:Se and Zn:Cd stoichiometries and reaction time. ZnS shells are deposited on the crude QD heterostructures using 4-tert-butylbenzyl mercaptan, a more reactive source of sulfide that enables shell growth below the temperature where ion diffusion in the QD can broaden its optical spectrum (≤275 °C). These optimized procedures provide gram quantities of blue-green emitting QDs (PLQY = 85–99%) in a single reaction vessel. A solid state lighting device (4260 K) that incorporates cyan emissive QDs achieved a higher luminous efficacy of 179 lm/W and melanopic daylight efficiency ratio (0.71) than existing commercial human centric lighting devices.

The Journal of Physical Chemistry CVol. 129(1)
Lawrence Berkeley National Laboratory (US), OSRAM (United States) (US), Huazhong University of Science and Technology (CN), Columbia University (US)
National Science Foundation, U.S. Department of Energy, National Natural Science Foundation of China, Office of Science, Office of Energy Efficiency and Renewable Energy, Division of Chemistry, Basic Energy Sciences, Building Technologies Office, Office of Energy Efficiency
Affordable and clean energy
Openalex Percentile: Top 57%
Quantum Dots Synthesis And Properties
0.12
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