Polymer-Plastics Technology and Materials, Год журнала: 2024, Номер 63(15), С. 2151 - 2169
Опубликована: Июнь 16, 2024
Язык: Английский
The Science of The Total Environment, Год журнала: 2023, Номер 876, С. 162797 - 162797
Опубликована: Март 11, 2023
Язык: Английский
Процитировано
94
Chemical Engineering Journal, Год журнала: 2024, Номер 490, С. 151625 - 151625
Опубликована: Апрель 24, 2024
In the rapidly evolving landscape of electrochemical energy storage (EES), advent artificial intelligence (AI) has emerged as a keystone for innovation in material design, propelling forward design and discovery batteries, fuel cells, supercapacitors, many other functional materials. This review paper elucidates burgeoning role AI materials from foundational machine learning (ML) techniques to its current pivotal advancing frontiers science storage, including enhancing performance, durability, safety battery technologies, cell efficiency longevity, fine-tuning supercapacitors achieve superior capabilities. Collectively, we present comprehensive overview recent advancements that have significantly accelerated development next-generation EES, offering insights into future research trajectories potential unlock new horizons science.
Язык: Английский
Процитировано
28
Energy, Год журнала: 2023, Номер 277, С. 127721 - 127721
Опубликована: Май 4, 2023
Язык: Английский
Процитировано
34
Journal of Marine Science and Engineering, Год журнала: 2023, Номер 11(3), С. 617 - 617
Опубликована: Март 15, 2023
The use of green hydrogen as a fuel source for marine applications has the potential to significantly reduce carbon footprint industry. development sustainable and cost-effective method producing gained lot attention. Water electrolysis is best most environmentally friendly hydrogen-based renewable energy. Therefore, identifying ideal operating parameters water process critical production. Three controlling factors must be appropriately identified boost generation, namely time (min), electric voltage (V), catalyst amount (μg). proposed methodology contains following two phases: modeling optimization. Initially, robust model in terms was established using an adaptive neuro-fuzzy inference system (ANFIS) based on experimental dataset. After that, modern pelican optimization algorithm (POA) employed identify duration, voltage, enhance Compared measured datasets response surface (RSM), integration ANFIS POA improved generated by around 1.3% 1.7%, respectively. Overall, this study highlights optimal parameter identification optimizing performance solar-powered electrocatalysis systems production applications. This research could pave way more widespread adoption technology industry, which would help industry’s promote sustainability.
Язык: Английский
Процитировано
30
International Journal of Hydrogen Energy, Год журнала: 2024, Номер 98, С. 1034 - 1043
Опубликована: Дек. 13, 2024
Язык: Английский
Процитировано
15
Journal of Environmental Management, Год журнала: 2024, Номер 360, С. 121182 - 121182
Опубликована: Май 20, 2024
Язык: Английский
Процитировано
14
Chemical Engineering Journal, Год журнала: 2024, Номер 489, С. 151323 - 151323
Опубликована: Апрель 15, 2024
Язык: Английский
Процитировано
12
Biosensors, Год журнала: 2024, Номер 14(6), С. 302 - 302
Опубликована: Июнь 8, 2024
Microbial biofilms present one of the most widespread forms life on Earth. The formation microbial communities various surfaces presents a major challenge in variety fields, including medicine, food industry, shipping, etc. At same time, this process can also be used for benefit humans-in bioremediation, wastewater treatment, and biotechnological processes. main direction using electroactive is their incorporation into composition biosensor biofuel cells This review examines fundamental knowledge acquired about structure biofilms, properties they have when bioelectrochemical devices, characteristics these structures different surfaces. Special attention given to potential applying latest advances genetic engineering order improve performance biofilm-based devices regulate processes that take place within them. Finally, we highlight possible ways dealing with drawbacks creation highly efficient biosensors cells.
Язык: Английский
Процитировано
7
The Science of The Total Environment, Год журнала: 2024, Номер 930, С. 172737 - 172737
Опубликована: Апрель 24, 2024
Язык: Английский
Процитировано
6
Atmosphere, Год журнала: 2023, Номер 14(2), С. 295 - 295
Опубликована: Фев. 1, 2023
This study aims to identify the optimal operating parameters for carbon dioxide (CO2) capture process using a combination of artificial intelligence and metaheuristics techniques. The main objective is maximize CO2 capacity. proposed method integrates fuzzy modeling with RUNge Kutta optimizer (RUN) analyze impact three operational factors: carbonation temperature, duration, H2O-to-CO2 flow rate ratio. These factors are considered capture. A model was developed based on measured data points simulate in terms stated parameters. then used values ratio RUN. results compared an optimized performance response surface methodology (RSM) demonstrate superiority strategy. showed that suggested technique increased capacity from 6.39 6.99 by 10.08% 9.39%, respectively, RSM methods. implies effective approach this can be improve various industrial applications.
Язык: Английский
Процитировано
16