Energy, Год журнала: 2024, Номер 311, С. 133404 - 133404
Опубликована: Окт. 10, 2024
Язык: Английский
Energy, Год журнала: 2024, Номер 311, С. 133404 - 133404
Опубликована: Окт. 10, 2024
Язык: Английский
Energy Policy, Год журнала: 2024, Номер 193, С. 114270 - 114270
Опубликована: Авг. 5, 2024
Язык: Английский
Процитировано
17Inorganics, Год журнала: 2024, Номер 12(4), С. 123 - 123
Опубликована: Апрель 21, 2024
In this study, a novel systematic analysis was conducted to explore the impact of various parameters, including acceptor density (NA), individual layer thickness, defect density, interface and metal electrode work function, on efficiency within FTO/ZnO/CsSnI3/NiOx/Au perovskite solar cell structure through SCAPS-1D (Solar Cell Capacitance Simulator in 1 Dimension) simulation. ZnO served as electron transport (ETL), CsSnI3 absorption (PAL), NiOx hole (HTL), all contributing optimization device performance. To achieve optimal power conversion (PCE), we determined ideal PAL (NA) be 2 × 1019 cm−3 thicknesses 20 nm for ETL (ZnO), 700 (CsSnI3), 10 HTL (NiOx), with remaining Au. As result process, increased from 11.89% 23.84%. These results are expected contribute performance enhancement eco-friendly, lead-free inorganic hybrid cells Sn-based PAL.
Язык: Английский
Процитировано
16International Journal of Hydrogen Energy, Год журнала: 2025, Номер 102, С. 247 - 259
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
3International Journal of Hydrogen Energy, Год журнала: 2025, Номер 105, С. 1114 - 1122
Опубликована: Янв. 29, 2025
Язык: Английский
Процитировано
3Fuel, Год журнала: 2025, Номер 388, С. 134534 - 134534
Опубликована: Фев. 5, 2025
Язык: Английский
Процитировано
3International Journal of Sustainable Development & World Ecology, Год журнала: 2025, Номер unknown, С. 1 - 16
Опубликована: Янв. 2, 2025
Climate change, fueled by consumption patterns, poses a profound challenge to the global community. In this context, trade, energy, and monetary policies emerge as pivotal instruments in reshaping positioning them indispensable tools pursuit of decarbonization. However, significant gap remains literature, with few studies thoroughly investigating their critical influence on driving Against backdrop, study explores how trade policy, renewable natural gas CO2 emissions United States, using data from 1988M1 2022M12. The research employs several advanced wavelet uncover hidden relationships between these variables that conventional techniques cannot identify. results coherence indicate that, short medium term, promotes emissions, no effect long term. Additionally, energy exhibits positive impact term; however, it demonstrates negative correlation Monetary policy is positively correlated while relationship becomes negative. also finds has weaker correlations terms. These findings are further validated results. time-frequency causality analysis uncovers feedback its drivers at different time scales. Based findings, suggests recommendations achieving
Язык: Английский
Процитировано
2Energy Reports, Год журнала: 2025, Номер 13, С. 1085 - 1094
Опубликована: Янв. 5, 2025
Язык: Английский
Процитировано
2International Journal of Thermofluids, Год журнала: 2025, Номер 26, С. 101078 - 101078
Опубликована: Янв. 12, 2025
Язык: Английский
Процитировано
2Unconventional Resources, Год журнала: 2025, Номер unknown, С. 100149 - 100149
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(23), С. 29547 - 29569
Опубликована: Май 29, 2024
The use of metamaterials in various devices has revolutionized applications optics, healthcare, acoustics, and power systems. Advancements these fields demand novel or superior that can demonstrate targeted control electromagnetic, mechanical, thermal properties matter. Traditional design systems methods often require manual manipulations which is time-consuming resource intensive. integration artificial intelligence (AI) optimizing metamaterial be employed to explore variant disciplines address bottlenecks design. AI-based also enable the development by parameters cannot achieved using traditional methods. application AI leveraged accelerate analysis vast data sets as well better utilize limited via generative models. This review covers transformative impact for current challenges, emerging fields, future directions, within each domain are discussed.
Язык: Английский
Процитировано
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