Results 121 to 130 of about 1,154 (251)

Synergistic Lewis Acid Photocatalysis Over Cluster‐Defect‐Engineered UiO‐66 for Efficient Liquid Biomass Upgrading

open access: yesAngewandte Chemie, EarlyView.
A cluster‐defect engineering strategy is presented for the rational design of Zn‐incorporated UiO‐66 photocatalysts. Selective acid etching mediates hierarchical porosity and abundant Lewis acid sites, tailoring the electronic structure and enhancing light harvesting.
Hao Wang   +6 more
wiley   +2 more sources

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

Supramolecular Modulation of Photoinduced Charge Transfer: Tuning Between Tunneling and Incoherent Hopping

open access: yesAngewandte Chemie, EarlyView.
Molecular recognition guest binding can comprehensively modulate photoinduced charge‐transfer dynamics in the cyclophane host, including charge separation and recombination, via coherent superexchange and incoherent hopping. Unlike covalent donor–bridge–acceptor systems, this supramolecular approach avoids tedious syntheses and offers precise tuning of
Xueze Zhao   +11 more
wiley   +2 more sources

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

open access: yesAdvanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez   +4 more
wiley   +1 more source

A Decoupled Cycling Architecture of Asymmetric Zinc‐Air Battery Unlocks Stable Catalyst Strategy and pH‐Dynamic Influence

open access: yesAngewandte Chemie, EarlyView.
A decoupled cycling architecture along with cost‐effective membrane and efficient catalyst is developed for asymmetric zinc‐air battery. The decoupled design ensures stable operation of catalyst and the pH‐dynamic influence on battery performance is explored, which provides paths for efficient utilization of pH‐decoupling electrolytes.
Yeshu Tan   +6 more
wiley   +2 more sources

Observations of fine coronal structures with high-order solar adaptive optics. [PDF]

open access: yesNat Astron
Schmidt D   +5 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Solar‐Driven Ammonia Synthesis From Nitrate Reduction Paired With CO2 Capture for Sustainable Agriculture via a Robust CuPd Heterojunction

open access: yesAngewandte Chemie, EarlyView.
Laser‐assisted synthesis of CuPd amorphous/crystalline heterojunction demonstrates >80% Faradaic efficiency for nitrate‐to‐ammonia electroreduction across wide potential windows. The integrated solar‐powered electrolyzer achieves 6% solar‐to‐ammonia energy efficiency at 0.4 sun, 6–20 mg h−1 CO2 capture rate, and stability exceeding 100 h.
Weihua Guo   +18 more
wiley   +2 more sources

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