Advances in Colloid and Interface Science, Journal Year: 2023, Volume and Issue: 319, P. 102969 - 102969
Published: July 27, 2023
Language: Английский
Advances in Colloid and Interface Science, Journal Year: 2023, Volume and Issue: 319, P. 102969 - 102969
Published: July 27, 2023
Language: Английский
Materials Today Physics, Journal Year: 2023, Volume and Issue: 34, P. 101080 - 101080
Published: April 9, 2023
Language: Английский
Citations
107Energy storage materials, Journal Year: 2023, Volume and Issue: 59, P. 102780 - 102780
Published: April 16, 2023
Language: Английский
Citations
74Nanoscale Advances, Journal Year: 2024, Volume and Issue: 6(5), P. 1286 - 1330
Published: Jan. 1, 2024
Photocatalytic water splitting (PWS) is an up-and-coming technology for generating sustainable fuel using light energy. Significant progress has been made in the developing of PWS innovations over recent years. In addition to various water-splitting (WS) systems, focus primarily on one- and two-steps-excitation WS systems. These systems utilize singular or composite photocatalysts WS, which a simple, feasible, cost-effective method efficiently converting prevalent green energy into H
Language: Английский
Citations
65The Chemical Record, Journal Year: 2023, Volume and Issue: 23(5)
Published: April 17, 2023
Abstract Graphitic carbon nitride (g‐C 3 N 4 ) has gained tremendous interest in the sector of power transformation and retention, because its distinctive stacked composition, adjustable electronic structure, metal‐free feature, superior thermodynamic durability, simple availability. Furthermore, restricted illumination extensive recombination photoexcitation electrons have inhibited photocatalytic performance pure g‐C . The dimensions may impact field electronics confinement; as a consequence, with varying shows unique features, making it appropriate for number fascinating uses. Even if there are several evaluations emphasizing on fabrication methods deployments , is certainly an insufficiency full overview, that exhaustively depicts synthesis composition diverse aspects Consequently, from standpoint numerical simulations experimentation, legitimate methodologies were employed to deliberately develop photocatalyst improve optimal result, including elements loading, defects designing, morphological adjustment, semiconductors interfacing. Herein, this evaluation initially discusses different dimensions, physicochemical modifications interfaces design development Emphasis given practical various inventory applications, such H 2 evolution, photoreduction CO source, electrocatalytic O reduction, alkali‐metal battery cells, lithium‐ion batteries, lithium–sulfur metal‐air batteries. Ultimately, current challenges potential fuel retention activities explored.
Language: Английский
Citations
48Materials Today Energy, Journal Year: 2024, Volume and Issue: 41, P. 101542 - 101542
Published: Feb. 29, 2024
Language: Английский
Citations
48Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 522, P. 216218 - 216218
Published: Sept. 21, 2024
Language: Английский
Citations
22Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102637 - 102637
Published: July 29, 2024
Airborne contaminants pose significant environmental and health challenges. Titanium dioxide (TiO2) has emerged as a leading photocatalyst in the degradation of air compared to other photocatalysts due its inherent inertness, cost-effectiveness, photostability. To assess effectiveness, laboratory examinations are frequently employed measure photocatalytic rate TiO2. However, this approach involves time-consuming requirements, labor-intensive tasks, high costs. In literature, ensemble or standalone models commonly used for assessing performance TiO2 water contaminants. Nonetheless, application metaheuristic hybrid potential be more effective predictive accuracy efficiency. Accordingly, research utilized machine learning (ML) algorithms estimate photo-degradation constants organic pollutants using nanoparticles exposure ultraviolet light. Six metaheuristics optimization algorithms, namely, nuclear reaction (NRO), differential evolution algorithm (DEA), human felicity (HFA), lightning search (LSA), Harris hawks (HHA), tunicate swarm (TSA) were combined with random forest (RF) technique establish models. A database 200 data points was acquired from experimental studies model training testing. Furthermore, multiple statistical indicators 10-fold cross-validation examine established model's robustness. The TSA-RF demonstrated superior prediction among six suggested models, achieving an impressive correlation (R) 0.90 lower root mean square error (RMSE) 0.25. contrast, HFA-RF, HHA-RF, NRO-RF exhibited slightly R-value 0.88, RMSE scores 0.32. DEA-RF LSA-RF while effective, showed marginally 0.85, values 0.45 0.44, respectively. Moreover, SHapley Additive exPlanation (SHAP) results indicated that rates through photocatalysis most notably influenced by factors such reactor sizes, dosage, humidity, intensity.
Language: Английский
Citations
21Progress in Materials Science, Journal Year: 2024, Volume and Issue: 147, P. 101352 - 101352
Published: Aug. 14, 2024
Language: Английский
Citations
20ACS Nano, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 18, 2025
Porous aromatic frameworks (PAFs) are a fundamental group of porous materials characterized by their distinct structural features and large surface areas. These synthesized from building units linked strong carbon–carbon bonds, which confer exceptional rigidity long-term stability. PAFs functionalities may arise directly the intrinsic chemistry or through postmodification motifs using well-defined chemical processes. Compared to other traditional such as zeolites metallic-organic frameworks, demonstrate superior stability under severe treatments due robust bonding. Even in challenging environments, ease functionalization flexibility specificity. Research on has significantly expanded accelerated over past decade, necessitating comprehensive overview key advancements this field. This review provides an in-depth analysis recent advances synthesis, functionalization, dimensionality PAFs, along with distinctive properties wide-ranging applications. explores innovative methodologies strategies for functionalizing structures, manipulation tailor specific potential Similarly, application areas, including batteries, absorption, sensors, CO2 capture, photo-/electrocatalytic usages, supercapacitors, separation, biomedical discussed detail, highlighting versatility addressing modern scientific industrial challenges.
Language: Английский
Citations
3Chemosphere, Journal Year: 2022, Volume and Issue: 308, P. 136358 - 136358
Published: Sept. 7, 2022
Language: Английский
Citations
67