Results 151 to 160 of about 59,781 (298)

Construction of ZnO/SnO<sub>2</sub> nanocomposites for enhancing the visible-light-driven photocatalytic degradation of alizarine yellow R dye. [PDF]

open access: yesBMC Chem
Jamshaid M   +10 more
europepmc   +1 more source

Surface‐Engineered Ti3C2Tx MXene/Cu2O Photocathodes for Highly Selective Photoelectrocatalytic CO2 Reduction to Ethanol

open access: yesAdvanced Energy Materials, EarlyView.
Surface‐engineering Ti3C2Tx MXenes with an in situ‐grown TiO2 layer on the surface in combination with visible‐light‐absorbing Cu2O significantly enhances charge separation and carrier extraction while improving Cu2O resistance to photocorrosion. The resulting Cu2O/TiO2‐MXene photocathodes enable highly selective, solar‐driven ethanol production ...
Luis A. M. Carrascosa   +4 more
wiley   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

open access: yesAdvanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Surface‐Functionalized MXene for Enhanced Photocatalytic CO2 Reduction

open access: yesAdvanced Energy Materials, EarlyView.
Poly(catechol/p‐cresol)‐functionalized MXene (f‐MXene) enhances oxidation stability while preserving conductivity, enabling efficient interfacial electron transfer in a Cu/f‐MXene/reduced TiO2 photocatalyst. Strong Cu–f‐MXene synergy promotes CO2 activation and selective CH4 production, achieving a CH4 yield of 18.1 µmol g−1 (>200 × vs.
Dongyun Kim   +18 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Activating Triplet Excitons in COFs via Layer‐Bridging Co Single Atoms for Photocatalytic H2O2 Production and Tandem C─N Coupling

open access: yesAngewandte Chemie, EarlyView.
This work demonstrates a layer‐bridging coordination strategy of Co single atoms in COFs that promotes the formation and utilization of triplet excited states. The introduction of Co single atoms induces pronounced energy‐level splitting and enhanced spin–orbit coupling, facilitating the generation of 1O2 and O2•– for efficient photocatalytic H2O2 ...
Guoen Tang   +6 more
wiley   +2 more sources

Sensitization of redox photocatalyst

open access: yes
The sensitization of a semiconductor-based oxidoreduction photocatalyst is carried out by fixing at its surface a colour carrier comprised of a fragment of a transition metal complex such as ruthenium, chromium or iron and of a ligand of the bipyridyl or
Serpone, Nick   +2 more
core  

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