Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) Networks

Overview

Journal Materials (Basel)

Publisher MDPI

Date 2024 Oct 26

PMID 39459761

Authors

Ivan Malashin

Daniil Daibagya

Vadim Tynchenko

Vladimir Nelyub

Aleksei Borodulin

Andrei Gantimurov

Alexandr Selyukov

Sergey Ambrozevich

Mikhail Smirnov

Oleg Ovchinnikov

Affiliations

Soon will be listed here.

Abstract

This study addresses the challenge of modeling temperature-dependent photoluminescence (PL) in CdS colloidal quantum dots (QD), where PL properties fluctuate with temperature, complicating traditional modeling approaches. The objective is to develop a predictive model capable of accurately capturing these variations using Long Short-Term Memory (LSTM) networks, which are well suited for managing temporal dependencies in time-series data. The methodology involved training the LSTM model on experimental time-series data of PL intensity and temperature. Through numerical simulation, the model's performance was assessed. Results demonstrated that the LSTM-based model effectively predicted PL trends under different temperature conditions. This approach could be applied in optoelectronics and quantum dot-based sensors for enhanced forecasting capabilities.

References

Zheng J, Huang F, Yin S, Wang Y, Lin Z, Wu X . Correlation between the photoluminescence and oriented attachment growth mechanism of CdS quantum dots. J Am Chem Soc. 2010; 132(28):9528-30. DOI: 10.1021/ja101848w. View

Ye Z, Lin X, Wang N, Zhou J, Zhu M, Qin H . Phonon-assisted up-conversion photoluminescence of quantum dots. Nat Commun. 2021; 12(1):4283. PMC: 8277828. DOI: 10.1038/s41467-021-24560-4. View

Lanjewar M, Panchbhai K, Patle L . Fusion of transfer learning models with LSTM for detection of breast cancer using ultrasound images. Comput Biol Med. 2024; 169:107914. DOI: 10.1016/j.compbiomed.2023.107914. View

Gogoi H, Pathak S, Dasgupta S, Panchakarla L, Nath S, Datta A . Exciton Dynamics in Colloidal CdS Quantum Dots with Intense and Stokes Shifted Photoluminescence in a Single Decay Channel. J Phys Chem Lett. 2022; :6770-6776. DOI: 10.1021/acs.jpclett.2c01623. View

Biswas B . Study of Photophysical Properties of Thiol-capped CdS Quantum Dots Doped with Gold Nanoparticles. J Fluoresc. 2023; 34(2):523-530. DOI: 10.1007/s10895-023-03288-y. View

Chen J, Zheng A, Gao Y, He C, Wu G, Chen Y . Functionalized CdS quantum dots-based luminescence probe for detection of heavy and transition metal ions in aqueous solution. Spectrochim Acta A Mol Biomol Spectrosc. 2007; 69(3):1044-52. DOI: 10.1016/j.saa.2007.06.021. View

Li L, Zhang J, Zhang M, Rowell N, Zhang C, Wang S . Fragmentation of Magic-Size Cluster Precursor Compounds into Ultrasmall CdS Quantum Dots with Enhanced Particle Yield at Low Temperatures. Angew Chem Int Ed Engl. 2020; 59(29):12013-12021. DOI: 10.1002/anie.202001608. View

Wang , Herron . Quantum size effects on the exciton energy of CdS clusters. Phys Rev B Condens Matter. 1990; 42(11):7253-7255. DOI: 10.1103/physrevb.42.7253. View

Nohara Y, Matsumoto K, Soejima H, Nakashima N . Explanation of machine learning models using shapley additive explanation and application for real data in hospital. Comput Methods Programs Biomed. 2021; 214:106584. DOI: 10.1016/j.cmpb.2021.106584. View

10.

Kargozar S, Hoseini S, Brouki Milan P, Hooshmand S, Kim H, Mozafari M . Quantum Dots: A Review from Concept to Clinic. Biotechnol J. 2020; 15(12):e2000117. DOI: 10.1002/biot.202000117. View

11.

Li J, Wu G, Zhang Y, Shi W . Optimizing flood predictions by integrating LSTM and physical-based models with mixed historical and simulated data. Heliyon. 2024; 10(13):e33669. PMC: 11262550. DOI: 10.1016/j.heliyon.2024.e33669. View

12.

Ran X, Shan Z, Fang Y, Lin C . An LSTM-Based Method with Attention Mechanism for Travel Time Prediction. Sensors (Basel). 2019; 19(4). PMC: 6412727. DOI: 10.3390/s19040861. View

13.

Wan X, Li Z, Yu W, Wang A, Ke X, Guo H . Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook. Adv Mater. 2023; :e2305192. DOI: 10.1002/adma.202305192. View

14.

Tang L, Zhang Y, Liao C, Guo Y, Lu Y, Xia Y . Temperature-Dependent Photoluminescence of CdS/ZnS Core/Shell Quantum Dots for Temperature Sensors. Sensors (Basel). 2022; 22(22). PMC: 9698013. DOI: 10.3390/s22228993. View

15.

Klimov V , Bolivar , Kurz . Ultrafast carrier dynamics in semiconductor quantum dots. Phys Rev B Condens Matter. 1996; 53(3):1463-1467. DOI: 10.1103/physrevb.53.1463. View

16.

Li J, Zheng H, Zheng Z, Rong H, Zeng Z, Zeng H . Synthesis of CdSe and CdSe/ZnS Quantum Dots with Tunable Crystal Structure and Photoluminescent Properties. Nanomaterials (Basel). 2022; 12(17). PMC: 9457710. DOI: 10.3390/nano12172969. View

17.

Bose S, Shendre S, Song Z, Sharma V, Zhang D, Dang C . Temperature-dependent optoelectronic properties of quasi-2D colloidal cadmium selenide nanoplatelets. Nanoscale. 2017; 9(19):6595-6605. DOI: 10.1039/c7nr00163k. View

18.

Hou X, Qin H, Peng X . Enhancing Dielectric Screening for Auger Suppression in CdSe/CdS Quantum Dots by Epitaxial Growth of ZnS Shell. Nano Lett. 2021; 21(9):3871-3878. DOI: 10.1021/acs.nanolett.1c00396. View

19.

Mehata M . Enhancement of Charge Transfer and Quenching of Photoluminescence of Capped CdS Quantum Dots. Sci Rep. 2015; 5:12056. PMC: 4499802. DOI: 10.1038/srep12056. View

20.

Hu Z, Liu S, Qin H, Zhou J, Peng X . Oxygen Stabilizes Photoluminescence of CdSe/CdS Core/Shell Quantum Dots via Deionization. J Am Chem Soc. 2020; 142(9):4254-4264. DOI: 10.1021/jacs.9b11978. View