Hydrogen evolution from visible light by CdS nanocrystals made of 0D quantum dots on 1D nanorods

Li, Shanhu; Muche, Shumet; Xu, Mengying; Deng, Yichao; Tremblay, Pier‐Luc; Zhang, Tian

doi:10.1016/j.jpcs.2022.110989

Journal of Physics and Chemistry of Solids

2022

DOI: 10.1016/j.jpcs.2022.110989

|View full text |Cite

Hydrogen evolution from visible light by CdS nanocrystals made of 0D quantum dots on 1D nanorods

Shanhu Li

Shumet Muche

Mengying Xu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Malashin,

Daibagya,

Tynchenko

et al. 2024

Materials

View full text Add to dashboard Cite

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.

show abstract

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

Malashin,

Daibagya,

Tynchenko

et al. 2024

Materials

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Hydrogen evolution from visible light by CdS nanocrystals made of 0D quantum dots on 1D nanorods

Cited by 1 publication

References 68 publications

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

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

Contact Info

Product

Resources

About