JOURNAL ARTICLE
Optimized Kinetics for Photothermal Catalysis: a Case of Biomass Conversion on CdS Nanocage.
Published In: Advanced Energy Materials, 2025, v. 15, n. 29. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Tang, Yuan; Guo, Yuchen; Liu, Boxin; Li, Yanfang; Hu, Zhuofeng; Tan, Xin; Ye, Jinhua; Yu, Tao 3 of 3
Abstract
The utilization of photogenerated carriers in interfacial oxidation and reduction reactions is limited due to the kinetic imbalance between the oxidation and reduction ends. Rapid equilibration of photoexcited metal nanostructures forming hot carriers on ultrafast time scales has potential in accelerating the rate and kinetics of photocatalytic reactions. In this study, the hollow nanocage structures with enhanced photothermal effect are designed to achieve efficient photothermal catalytic evolution of furfural and hydrogen by enhancing the relaxation time scale of hot carriers. The formed spatial structure with internal and external separation facilitates the absorption of reactants by metal sites. Meanwhile the hollow nanocage structure is instrumental in the phonon‐photon synergy, which supplies enhanced driving force for the photothermal coupling reaction through enhanced interfacial interactions. The enhanced photothermal effect simultaneously prolongs the time scale of thermal electron injection and heat scattering in the interfacial reaction, balancing the kinetics of the reduction and oxidation half‐reactions. This work is significant for finely designed spatial structures to optimize total energy utilization. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Advanced Energy Materials. 2025/08, Vol. 15, Issue 29, p1
- Document Type:Article
- Subject Area:Technology
- Publication Date:2025
- ISSN:1614-6832
- DOI:10.1002/aenm.202501159
- Accession Number:187144510
- Copyright Statement:Copyright of Advanced Energy Materials is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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