Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 72, P. 107632 - 107632
Published: April 1, 2025
Language: Английский
Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 72, P. 107632 - 107632
Published: April 1, 2025
Language: Английский
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, Journal Year: 2025, Volume and Issue: 58(1)
Published: Feb. 19, 2025
Language: Английский
Citations
0Nanoscale Advances, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
This study provides compelling experimental evidence of the synergistic effects reaction pressure, oxidation state, and catalyst morphology on C2+ selectivity copper (Cu) oxide catalysts in electrochemical CO2 reduction (ECR). We employed femtosecond laser structuring thermal treatments to synthesize Cu(0), Cu(i), Cu(ii), a mixed state Cu(x) with characteristic micro- nano-morphologies. The optimal pressure for maximizing productivity aqueous bicarbonate media was established by assessing products at different imposed pressures custom-designed, pressurizable two-compartment cell. Among thermally produced Cu(i) only unstructured exhibiting ethylene gas-phase selectivity. Nanostructuring enhanced such that all three states could produce ethylene. More importantly, nanostructured comprising well-dispersed exhibited as well ethane production - associated undercoordinated Cu stabilizing intermediates facilitating charge transfer yield longer products. work important insights into key factors influencing Cu-based catalysts, establishing basis an informed design high-energy density
Language: Английский
Citations
0Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160666 - 160666
Published: Feb. 1, 2025
Language: Английский
Citations
0Microporous and Mesoporous Materials, Journal Year: 2025, Volume and Issue: unknown, P. 113569 - 113569
Published: Feb. 1, 2025
Language: Английский
Citations
0The Journal of Supercritical Fluids, Journal Year: 2025, Volume and Issue: unknown, P. 106575 - 106575
Published: Feb. 1, 2025
Language: Английский
Citations
0Catalysts, Journal Year: 2025, Volume and Issue: 15(3), P. 237 - 237
Published: March 1, 2025
In recent years, the electrochemical conversion of CO2 gasses into renewable fuels (e.g., ethylene, ethanol, and propanol) has attracted much attention. this process, electrocatalysts play a crucial role in accelerating reduction reaction (CO2RR) process. review, synthesis C2+ products from was investigated. To end, various classifications such as metals, metal oxides, alloys, covalent organic frameworks (COFs), carbon-based electrocatalysts, metal–organic (MOFs) their utilization chemicals were fully Also, impact factors catalyst stability, temperature, membrane type, pressure, current density, pH, type electrolyte on CO2RR process to generate valuable Moreover, mechanism for producing Furthermore, limitations future perspective surveyed. Finally, industrial application value-added Based our investigation, Cu Cu2O-based are suitable catalysts products, particularly ethylene ethanol.
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 4, 2025
All substances exhibit complex behavior near their critical points, where even slight variations in temperature and pressure can lead to significant changes density, heat capacity, compressibility. This rapid variation results a loss of surface energy maximizes the compressibility capacity fluids at point. study employed molecular dynamics (MD) simulations based on binary mixture concept predict properties ionic liquids (ILs) that are difficult measure experimentally. Initially, validate this method, we investigated density pure water, ethanol, across different temperatures pressures, specifically phase transition, critical, supercritical points. Then, these were studied for [C4mim][BF4] IL its The water-ethanol compared with experimental data. simulation revealed points resembles three middle point represents mixture's predicted 1400 ± 10 K 11 0.5 bar, respectively.
Language: Английский
Citations
0Journal of Macromolecular Science Part B, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: March 5, 2025
Carbon dioxide has gained considerable attention as a green alternative solvent for various industrial processes, such chemical reactions, separations and material processing. On the other hand, polyethylene glycol (PEG) is handy polymer compound which finds myriad applications in many industries pharmaceuticals, biotechnology engineering. This study introduces machine learning models based upon K-nearest Neighbors, Decision Tree, Adaptive Boosting Ensemble algorithms to accurately predict CO2-saturated PEG density function of molar mass, pressure temperature. An experimental dataset utilized purpose developing intelligent models. Also, leverage method made use check data authenticity model development relevancy index used elucidate relative impacts each feature on density. The obtained results imply that acquired was appropriate be included within data-driven models' construction. In addition, it shown factor directly affects while negatively affected by temperature mass. Moreover, found developed Neighbors most accurate prediction
Language: Английский
Citations
0Vacuum, Journal Year: 2025, Volume and Issue: unknown, P. 114262 - 114262
Published: March 1, 2025
Language: Английский
Citations
0RSC Advances, Journal Year: 2025, Volume and Issue: 15(10), P. 8088 - 8101
Published: Jan. 1, 2025
Insight into the time-dependent corrosion protection of mild steel by green ionic liquids namely, choline tyrosinate and prolinate, respectively, as eco-friendly inhibitors for (MS) in acidic media.
Language: Английский
Citations
0