Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Environmental Functional Materials, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Journal of Water Process Engineering, Год журнала: 2025, Номер 70, С. 107073 - 107073
Опубликована: Янв. 27, 2025
Язык: Английский
Процитировано
1Опубликована: Янв. 1, 2025
The NaA zeolite exhibits excellent adsorption performance for 90Sr in radioactive nuclear wastewater. However, the efficient and simple fabrication of into membrane materials remains a critical challenge its industrial application. In this study, was uniformly blended with polyacrylonitrile (PAN) to prepare novel hydrophilicity composite PAN (NaA@PANMs) via electrospinning technology. A comprehensive analytical characterization conducted employing range techniques, including SEM-EDS, BET, XRD FT-IR. results indicate that ensured structural stability membrane. Meanwhile, is incorporated could supply more sites. oxidation NaA@PANMs at 200 ℃ resulted enhanced mechanical strength warm water (75 °C), along acquisition superior physicochemical properties. addition, batch experimental experiments showed had high capacity Sr2+ ions, reaching 59.10 mg/g (removal rate 98.50 %) pH 6, maximum 85.21 298 K. kinetics thermodynamics were respectively consistent pseudo-second-order Langmuir isotherm model. presence coexisting Kd values 3.8, 7.1, 22.0 times higher than those Ca2+, Mg2+, K+, respectively. Additionally, 0.9 g demonstrated dynamic solutions flow 0.25 mL/min. Moreover, can still maintain surface integrity following irradiation 300 kGy. removal exceeding 70.00 % after three desorption cycles furtherly indicates potential application actual
Язык: Английский
Процитировано
0Advanced Energy Materials, Год журнала: 2025, Номер unknown
Опубликована: Фев. 19, 2025
Abstract Although CO 2 reduction reaction (CO RR) has achieved significant progress in past years, the C 2+ products are mainly limited to a few products, while many other have rarely been reported experiments with understanding of underlying mechanisms. Accordingly, this work, machine learning (ML)‐based theoretical investigations is conducted uncover mechanisms for conversion challenging C₂ + (C H 6 , CH 3 OCH CO, and ) during RR on graphdiyne‐supported atomic catalysts (GDY‐ACs) well‐defined active sites. Using first‐principles (FPML) predictions, key factors limiting diversity identified. The conversions hindered by large rate‐determining step (RDS) barriers (>4 eV). formation meets competitive reactions due similar pathways which also undergoes further hydrogenation easily products. dehydration caused steric hindrance induced neighboring adsorption 1 intermediates. FPML predictions reveal significance binding configuration parameters realizing efficient accurate predictions. This work offers not only important references low selectivity specific but critical insights into
Язык: Английский
Процитировано
0Coordination Chemistry Reviews, Год журнала: 2025, Номер 539, С. 216751 - 216751
Опубликована: Апрель 28, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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