
Energy storage materials, Год журнала: 2024, Номер unknown, С. 103970 - 103970
Опубликована: Дек. 1, 2024
Язык: Английский
Energy storage materials, Год журнала: 2024, Номер unknown, С. 103970 - 103970
Опубликована: Дек. 1, 2024
Язык: Английский
Journal of Alloys and Compounds, Год журнала: 2025, Номер unknown, С. 179197 - 179197
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1Chemical Physics Reviews, Год журнала: 2025, Номер 6(1)
Опубликована: Март 1, 2025
Adverse climate change, global warming, and energy security have emerged as challenges, demanding advancements in high-performance battery technologies to drive sustainability. In this scenario, developing electrolytes has gained significant momentum among various innovations, given their critical role determining safety performance. However, the conventional trial-and-error approach electrolyte discovery is costly, complex, time-consuming, often inefficient. Recent artificial intelligence (AI) over past decade catalyzed innovations across diverse fields, ranging from nanotechnology space explorations, are now emerging a powerful tool for materials discovery. Numerous studies demonstrated effectiveness of AI screening characterizing next-generation electrolytes. This review offers comprehensive outlook on transformative designing novel Examination key parameters that influence electrochemical performance batteries conducted. The challenges opportunities using design with tailored properties explored. Furthermore, futuristic vision integrating science-driven AI-based approaches existing experimental theoretical methods accelerate presented. By offering such understanding, aims provide researchers, industries, policymakers insights into how can be leveraged electrolytes, paving way toward progress technology.
Язык: Английский
Процитировано
0Energy storage materials, Год журнала: 2024, Номер unknown, С. 103970 - 103970
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
0