
International Journal of Hydrogen Energy, Год журнала: 2024, Номер unknown
Опубликована: Сен. 1, 2024
Язык: Английский
International Journal of Hydrogen Energy, Год журнала: 2024, Номер unknown
Опубликована: Сен. 1, 2024
Язык: Английский
Journal of Membrane Science, Год журнала: 2025, Номер unknown, С. 124186 - 124186
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Sustainable Energy & Fuels, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Bibliometric mapping reveals trends for green hydrogen research.
Язык: Английский
Процитировано
0Interdisciplinary materials, Год журнала: 2025, Номер unknown
Опубликована: Май 15, 2025
ABSTRACT Data‐driven artificial intelligence provides strong technical support for addressing global energy and environmental issues. The powerful data processing analysis capabilities of machine learning (ML) can quickly predict electrocatalytic performance, improving the efficiency catalyst design time‐consuming inefficient nature traditional design. By integrating ML with theoretical calculations experiments, catalytic reaction processes be precisely regulated. This not only accelerates discovery new catalysts but also drives development more efficient environmentally friendly sustainable technologies. In this article, we discuss approaches to discovering novel driven by ML, focusing on activity prediction, barrier optimization, innovative materials. We systematically application in field electrocatalysis explore future prospects domain. provide a comprehensive in‐depth its potential development.
Язык: Английский
Процитировано
0International Journal of Hydrogen Energy, Год журнала: 2024, Номер 82, С. 206 - 217
Опубликована: Авг. 1, 2024
This study introduces a novel method for hydrogen fuel generation using ultrasound technology through the disassociation of water into and oxygen. The proposed experimental setup comprises several key components: power supply, an ultrasonic generator, two transducers, reactor vessel, vapor traps, condenser, valve, storage, humidity sensor measurement sensor. system operates at 100 W frequency 40 kHz, vessel contains 2L solution. results show variability in production rates under different conditions. distilled used experiments 25 °C produces rate 0.05 μmol/min, which increases to 0.066 μmol/min 70 °C. tap gives ranging from 0.044 0.06 lake between 0.036 0.054 while wastewater ranges 0.028 μmol/min. present investigates effect CO2 injection sonoreactor on performance shows that increase over 20-min period resources, with higher flow leading improved rates. These findings demonstrate potential eco-friendly production, marking promising alternative conventional methods contributing valuable insights field sustainable energy.
Язык: Английский
Процитировано
3International Journal of Hydrogen Energy, Год журнала: 2024, Номер unknown
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
3