Optimization and Comparison of Photovoltaic Parameters of Zinc Oxide (ZnO)/Graphene Oxide (GO) and Zinc Oxide (ZnO)/Carbon Quantum Dots (CQDs) Hybrid solar cell using Firefly Algorithm for application in Solar Trigeneration System in Commercial Buildings

Synthesis of a ternary Bi2O3/CQDs/rGO photocatalyst to active peroxymonosulfate for the removal of tetracycline hydrochloride

“…12 In view of the advantages of CQDs and rGO, more and more researchers have started to use CQDs and rGO to jointly modify photocatalysts. 13–16 On the one hand, the excellent conductivity of CQDs and rGO could effectively promote the separation and transmission of photogenerated carriers and improve the charge-separation efficiency and injection efficiency. 17–19 On the other hand, rGO could significantly improve the adsorption of antibiotics on a photocatalyst.…”

Nanostructured ZnO‐CQD Hybrid Heterostructure Nanocomposites: Synergistic Engineering for Sustainable Design, Functional Properties, and High‐Performance Applications

“…Tyagi et al. exemplified this by creating nitrogen‐doped carbon quantum dots (N‐CQDs) incorporated into ZnO thin films for visible light photocatalysis [43] . This approach demonstrates the potential for waste‐derived materials to enhance photocatalytic performance.…”

“…The drive towards renewable energy has fueled research into integrating carbon quantum dots (CQDs), graphene quantum dots (GQDs), and other QDs with ZnO nanostructures to optimize solar cell performance. Diverse techniques have been developed for this integration, leading to significant efficiency improvements in ZnO‐based solar cells [43,165] . Using ZnO nanorod arrays in the electron transport layer and incorporating a P3HT:PC61BM system, researchers have achieved substantial efficiency gains with CQD integration [103] .…”

“…Tyagi et al. explored alternative energy sources with ZnO/graphene oxide (GO) and ZnO/CQDs hybrid solar cells [43] . Wang et al.…”

Prediction on enhanced electrochemical discharge machining behaviors of zirconia‐silicon nitride using hybridDNNbased spotted hyena optimization

“…The existing research works also proved that the prediction accuracy is better in the weight‐optimized machining learning algorithms. In which, several researchers utilized different optimization algorithms namely, whale optimization (WO), 38 particle swarm optimization (PSO), 39 Firefly algorithm (FA), 40 etc. Exploration and exploitation are the main processes in the metaheuristic algorithms where searching is done by exploration in the search space and optimal solutions are found out by the exploitation function.…”