International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 99, P. 241 - 255
Published: Dec. 17, 2024
Language: Английский
International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 99, P. 241 - 255
Published: Dec. 17, 2024
Language: Английский
Analytica Chimica Acta, Journal Year: 2025, Volume and Issue: 1338, P. 343609 - 343609
Published: Jan. 1, 2025
Language: Английский
Citations
2Nano Letters, Journal Year: 2024, Volume and Issue: 24(30), P. 9345 - 9352
Published: July 16, 2024
The electrochemical CO2 reduction reaction (eCO2RR) to multicarbon chemicals provides a promising avenue for storing renewable energy. Herein, we synthesized small Cu nanoparticles featuring enriched tiny grain boundaries (RGBs-Cu) through spatial confinement and in situ electroreduction. In-situ spectroscopy theoretical calculations demonstrate that small-sized significantly enhance the adsorption of *CO intermediate, owing presence abundant low-coordinated disordered atoms. Furthermore, these boundaries, generated under high current conditions, exhibit excellent stability during eCO2RR process, thereby creating stable *CO-rich microenvironment. This local concentration around catalyst surface can reduce energy barrier C–C coupling increase Faradaic efficiency (FE) products across both neutral alkaline electrolytes. Specifically, developed RGBs-Cu electrocatalyst achieved peak FE 77.3% maintained more than 134 h at constant density −500 mA cm–2.
Language: Английский
Citations
7International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 89, P. 664 - 685
Published: Oct. 1, 2024
Language: Английский
Citations
5Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115855 - 115855
Published: Feb. 1, 2025
Language: Английский
Citations
0Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179303 - 179303
Published: Feb. 1, 2025
Language: Английский
Citations
0Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 498, P. 155222 - 155222
Published: Aug. 28, 2024
Language: Английский
Citations
3Journal of Materials Chemistry A, Journal Year: 2024, Volume and Issue: 12(31), P. 20115 - 20120
Published: Jan. 1, 2024
We engineered Cu/CeO x and Cu/CuCeO solid solutions, enhancing *H *CO binding in CO 2 RR. boosts coverage via faster water dissociation, while augments adsorption, selectively reducing to CH 4 or C H .
Language: Английский
Citations
2Applied Organometallic Chemistry, Journal Year: 2024, Volume and Issue: 38(11)
Published: July 16, 2024
CO 2 chemical fixation offers a feasible approach for carbon mitigation and high‐value utilization, but it is still challenging to develop an efficient catalyst conversion into cyclic carbonate. Herein, the triethylenediamine‐derived dicationic ionic liquids (DIL‐X, X = Cl, Br, I) were grafted UiO‐66 linkers through self‐assembly of Zr 4+ ions mixed ligands terephthalic acid DIL‐bearing dicarboxylic acid, resulting in UiO‐66‐DIL‐X n , ( designated as molar amount feeding DIL‐X). Their catalytic performance was evaluated by epoxide cycloaddition reaction absence solvent cocatalyst. Among them, UiO‐66‐DIL‐Cl 0.4 exhibited outstanding performance, with chloropropene carbonate yield 92% high selectivity 99% under 0.1 MPa at 110 °C 16 h. Its activity could be ascribed cooperativity among Lewis acidity MOF nodes, enhanced absorption, strong nucleophilicity offered halogen liquid‐modified MOF. Moreover, presented excellent recyclability substrate extension. A potential mechanism epoxide‐CO has been proposed. This work will shed light on rational design functionalized MOFs‐based catalysts CO₂ utilization.
Language: Английский
Citations
2ACS Materials Letters, Journal Year: 2024, Volume and Issue: unknown, P. 5316 - 5324
Published: Nov. 5, 2024
The electrochemical CO2 reduction reaction (CO2RR) paved the way to carbon neutrality while producing value-added chemicals and fuels. While Cu-based catalysts show potential, they suffer from inadequate faradaic efficiency. In this study, we explore Cu(100) surface-based dual atom alloy (DAA) for CO2RR produce C1 C2 products. Three distinct doping patterns involve two identical or different transition metals across 27 candidates. Machine learning (ML) based models were developed with high accuracy predict catalytic activity of unknown catalysts. scaling relation between adsorption energies *CO *CHO is circumvented by regulating local environment preferential doping. integrated DFT+ML approach identifies 14 8 most suitable DAAs product formation, respectively. Feature importance analysis underscores significance valence d-orbital electrons in adsorption. Additionally, PDOS reveals atom-like electronic states doped metals, characterized highly localized d-states.
Language: Английский
Citations
2Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129147 - 129147
Published: Aug. 14, 2024
Language: Английский
Citations
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