Tunable N₂ Fixation Enabled by Ferroelectric Switching in Doped Graphene/In₂Se₃ Dual-Atom Catalysts

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

The electrochemical nitrogen reduction reaction (NRR) provides a sustainable alternative to ammonia synthesis. However, the development of catalysts with high activity and selectivity under ambient conditions remains significant challenge. In this work, we propose class dual-atom (DACs), consisting two metal atoms embedded in nitrogen-doped porous graphene (M2NPG) supported on ferroelectric α-In2Se3 monolayer. Using density functional theory (DFT) calculations, explore effect polarization switching structural stability, catalytic performance, mechanisms these DACs. By computationally screening 27 as active sites, identify four promising candidates (V, Co, Ru, Ta) V2NPG@In2Se3 standing out due its exceptional properties. precise control NRR pathways, along tunable limiting potentials selective product formation, can be achieved through combination low potential, abundant behavior, against hydrogen evolution (HER) highlights potential traditional single-atom catalysts. This work demonstrates versatile strategy for integrating DACs materials, offering valuable insights into designing next-generation beyond.

Язык: Английский

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Techno-economic assessment of green ammonia and hydrogen distribution from offshore wind farms to European ports

International Journal of Hydrogen Energy, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

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Harnessing the power of nano-adsorbents for sustainable ammonia economy

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 217, С. 115718 - 115718

Опубликована: Апрель 14, 2025

Язык: Английский

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Compact Temporal Causal Algorithm for Modeling Prediction in the Green Ammonia Production Process

Chemical Engineering & Technology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 21, 2025

Abstract Because of the complexity green ammonia production, identifying useful information from massive data to construct a streamlined and interpretable prediction model is challenge. This paper proposed an improved transfer entropy method enhanced in capturing causal relationships between variables. Furthermore, compact temporal identification algorithm was introduced, combining direct identification. integrates advantages both methods, enabling rapid clear pathways high‐dimensional variable spaces. In industrial validation actual process, average number predictive variables based on temporal‐dependent Markov blankets were 3.341 10.171, respectively, yielding accuracies ( R 2 ) 0.887 0.905. The provides new solutions for modeling processes.

Язык: Английский

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Retrofit of floating storage and regasification units for ammonia and hydrogen: Material selection, thermal analysis, and boil-off gas utilization

International Journal of Hydrogen Energy, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

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Biomass-derived carbon quantum dots from Chlorella vulgaris: Photocatalytic reduction of malachite green dye coupled with anti-quorum sensing and antimicrobial activity against food pathogens

Food Bioscience, Год журнала: 2024, Номер 62, С. 105272 - 105272

Опубликована: Окт. 10, 2024

Язык: Английский

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Green ammonia synthesis technology that does not require H2 gas: Reaction technology and prospects for ammonia synthesis using H2O as a direct hydrogen source

Current Opinion in Green and Sustainable Chemistry, Год журнала: 2024, Номер unknown, С. 100980 - 100980

Опубликована: Окт. 1, 2024

Язык: Английский

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Insight into the effect of support properties on DBD plasma-catalytic NH3 synthesis over Ru-Co bimetallic catalysts

Fuel, Год журнала: 2024, Номер 382, С. 133802 - 133802

Опубликована: Ноя. 21, 2024

Язык: Английский

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