Results 171 to 180 of about 239,158 (280)

The effect of argon pressure on the structural and photocatalytic characteristics of TiO2 thin films deposited by d.c. magnetron sputtering [PDF]

, 2005
De Gryse, Roger, Eufinger, Karin, Janssen, Els, Marin, Guy, Poelman, Dirk, Poelman, Hilde   +5 more
core   +2 more sources

Ambient Hydrocarbonylation of Olefins Enabled by Visible‐Light

Advanced Science, EarlyView.
A novel photo‐induced methodology for hydrocarbonylation has been established, resolving the inherent conflicts between competitive olefin and CO insertion in traditional methods that necessitate harsh conditions. Accordingly, an efficient and versatile hydrocarbonylation of olefins enabled by visible‐light irradiation under ambient conditions has been
Hongchi Liu, Tianze Zhang, Hanmin Huang
wiley   +1 more source

Preparation of Rare-Earth-Based Metal–Organic Frameworks and Their PMS Photocatalytic Activation for Rhodamine B Degradation

ACS Omega
Jiaqi Li, Shuai Zhang, Pengyao Sun, Jianfei Li, Tiantian Sun, Renquan Guan, Fanming Zeng, Chunbo Liu   +7 more
doaj   +1 more source

Harnessing synergistic effects in porous carbon/Co-ZnO heterojunction for enhanced visible-light photocatalytic removal of bisphenol A. [PDF]

RSC Adv
Sharma S, Umdor RS, Longchar IT, Gogoi PP, Ezung SL, Sinha D.   +5 more
europepmc   +1 more source

photocatalytic oxidation

Citation: 'photocatalytic oxidation' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.14045 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

FeCoNiCuPt High‐Entropy Alloy Boosts Photocatalytic Hydrogen Production on Protonated Graphitic Carbon Nitride

Advanced Science, EarlyView.
In this study, FeCoNiCuPt high‐entropy alloy particles (HEA) are loaded onto protonated g‐C3N4 nanosheets (HCN NSs) to construct HEA/HCN composites through an electrostatic self‐assembly method. Protonation treatment enriches the surface of g‐C3N4 nanosheets with abundant active sites and enhances their interfacial charge separation capability ...
Yunzhu Zang, Jiali Ren, Yanjun Xue, Jian Tian   +3 more
wiley   +1 more source

Bandgap‐Dependent Doping of Semiconducting Carbon Nanotube Networks by Proton‐Coupled Electron Transfer for Stable Thermoelectrics

Advanced Electronic Materials, EarlyView.
Proton‐coupled electron transfer doping with benzoquinone is applied to p‐dope dense films of semiconducting single‐walled carbon nanotubes. The doping efficiency depends on the pH of the doping solution and the bandgap of the nanotubes. The highest conductivities and power factors are achieved for small‐bandgap nanotubes, remaining stable for over 120
Angus Hawkey, Xabier Rodríguez‐Martínez, Sebastian Lindenthal, Moritz C. F. Jansen, Reverant Crispin, Jana Zaumseil   +5 more
wiley   +1 more source

Light Stability of Laser‐Assisted Glass Encapsulated Perovskite Solar Cells under Different Atmospheres

Advanced Energy Materials, EarlyView.
This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira, Jorge Martins, Rúben Madureira, Dzmitry Ivanou, Seyedali Emami, Adélio Mendes   +5 more
wiley   +1 more source

Preparation of mesoporous nanosphere SiO₂@TiO₂ composite materials and the photocatalytic degradation performance of different dyes. [PDF]

RSC Adv
Wu W, Yang W, Zhong J, Peng H, Meng L, Zhao S.   +5 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source