Results 101 to 110 of about 48,403 (247)

Crosslinking of Linear Polyimines Into Aminal‐Linked Porous Organic Polymers for C2 Hydrocarbon/Methane Separation

open access: yesAngewandte Chemie, EarlyView.
Crosslinking of linear polyimines with aromatic diamines via nucleophilic addition converts nonporous polyimine precursors into aminal‐linked porous networks, offering a new strategy for synthesizing porous organic polymers. The resulting materials exhibit high C2 hydrocarbon adsorption capacity, excellent selectivity over CH4, and durable cyclic ...
Xuejie Li   +4 more
wiley   +2 more sources

Self‐Sustaining Hybrid Passive Cooler Enabling Highly Effective Thermal Management for Outdoor Electronics

open access: yesAdvanced Science, EarlyView.
An innovative hybrid passive cooler integrates a porous radiative coating and an atmospheric moisture‐harvesting hydrogel within a melamine sponge skeleton, synergizing radiative cooling, sensible‐heat absorption, and latent‐heat evaporation. It maintains an average 8.3°C sub‐ambient cooling under sunlight and a maximum ∼42.4°C drop under 2000 W·m−2 ...
Qingyuan Du   +6 more
wiley   +1 more source

A New Switchable Zr12 Oxocluster Based Large Pore Metal–Organic Framework Functionalized With Spin Crossover Complexes for Acetic Acid Colorimetric Sensing

open access: yesAngewandte Chemie, EarlyView.
We present here (1)⊂MIP‐216(Zr), a new hybrid material composed of an FeII spin crossover complex (1) loaded in the pores of a new hydrophobic metal–organic framework (MIP‐216(Zr), that presents a high affinity toward acetic acid and acts as a highly sensitive colorimetric sensor of acetic acid vapor due to a spin state switching of the encapsulated ...
Emmelyne Cuza   +8 more
wiley   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Microenvironmental Tuning in Isostructural Conjugated Metal–Organic Frameworks for Superior Photocatalytic H2O2 Generation

open access: yesAngewandte Chemie, EarlyView.
Two isostructural conjugated‐MOFs (Fe‐Tp and Mn‐Tp) photocatalysts were engineered with nonequivalent microenvironmental redox tuning for hydrogen peroxide production. The manganese analog engages both the oxygen reduction reaction and the water oxidation reaction while suppressing decomposition, delivering 10 487 µmol g−1 h−1 with an apparent quantum ...
Kayaramkodath Chandran Ranjeesh   +10 more
wiley   +2 more sources

Structured sorbents for Direct Air Capture: The impact of materials and chemicals on performance

open access: yesAIChE Journal, EarlyView.
Abstract Structured sorbents can efficiently process large air volumes required for Direct Air Capture (DAC), but their broad implementation is limited by challenges in producing reproducible and homogeneous materials. This work presents a robust procedure to graft amines onto monolithic sorbents and systematically investigates how CO2$$ {\mathrm{CO ...
Nicole Ferru   +8 more
wiley   +1 more source

Decouple H2O2 Electrosynthesis From Microenvironmental Decomposition via Atomic Site Density Engineering

open access: yesAngewandte Chemie, EarlyView.
Using defect‐rich Co‐N2O2 single‐atom catalysts as a model system, this work reveals that atomic site density governs the competition between H2O2 electrosynthesis and microenvironmental decomposition during 2e−‐ORR. Optimised site isolation suppresses HPRR and HDR, thereby establishing a site‐density principle to balance H2O2 formation and ...
Junwen Chen   +8 more
wiley   +2 more sources

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

open access: yesAdvanced 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

The Role of Zn–Hf Site Proximity and Oxygen Vacancies for Methanol Formation Over ZnHfOx Catalysts Under CO2 Hydrogenation Conditions

open access: yesAngewandte Chemie, EarlyView.
ZnHfOx catalysts enable highly selective hydrogenation of CO2 to methanol over a wide range of Zn contents, as the Zn‐VO‐Hf active motif (VO = oxygen vacancy) exists not only in solid solution‐type ZnHfOx for low Zn contents (≤ 35 mol%), but also as HfOx cluster/single atom decorated ZnO surfaces for Zn contents > 95 mol%.
Alexander Oing   +8 more
wiley   +2 more sources

Defect‐Guided Assembly of Aperiodic and Flexible Metal–Organic Frameworks From Pre‐Formed Cages

open access: yesAngewandte Chemie, EarlyView.
A cage‐directed strategy is used to program topologically correlated defects and induce aperiodicity in HKUST‐1‐type MOFs. A missing carboxylate group in the linker drives the formation of Cu‐vacancy domains, while Rh(II) cages spatially confine these defects.
Francisco Sánchez‐Férez   +12 more
wiley   +2 more sources

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