Dual-confinement and oxygen vacancy strategies for ultra-stable sodium storage and mechanisms in high-entropy spinel oxides DOI
Hao Xu, Huijun Li, Mingyang Gao

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 113, С. 115641 - 115641

Опубликована: Фев. 6, 2025

Язык: Английский

Role of artificial intelligence in the design and discovery of next-generation battery electrolytes DOI Open Access
Manikantan R. Nair, Tribeni Roy

Chemical 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

1

Oxide coated nickel powder as support for platinum(0) nanoparticles: Magnetically separable catalysts for hydrogen generation from the hydrolysis of ammonia borane DOI
Serdar Akbayrak, Gülhan Çakmak, Tayfur Öztürk

и другие.

Journal of Alloys and Compounds, Год журнала: 2024, Номер 1002, С. 175199 - 175199

Опубликована: Июнь 15, 2024

Язык: Английский

Процитировано

6

Speeding up the development of solid state electrolyte by machine learning DOI Creative Commons
Qianyu Hu, Kunfeng Chen, J. Y. Li

и другие.

Next Energy, Год журнала: 2024, Номер 5, С. 100159 - 100159

Опубликована: Июнь 27, 2024

Язык: Английский

Процитировано

6

Perspectives on Ultrafast, Precise Synthesis and Regeneration of Advanced Battery Materials DOI

Guanghua Huang,

Yan Leng,

Yunchao Yin

и другие.

Energy & Fuels, Год журнала: 2024, Номер 38(15), С. 13722 - 13736

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

6

Strongly tribocatalytic dye degradation of high-entropy powder through harvesting friction DOI
Zhaoning Yang, Jing Wang, Miao Sun

и другие.

Journal of Alloys and Compounds, Год журнала: 2024, Номер 1005, С. 176023 - 176023

Опубликована: Авг. 14, 2024

Язык: Английский

Процитировано

5

Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review DOI Open Access
Ivan Malashin,

D. A. Martysyuk,

В С Тынченко

и другие.

Polymers, Год журнала: 2024, Номер 16(23), С. 3368 - 3368

Опубликована: Ноя. 29, 2024

The integration of machine learning (ML) into material manufacturing has driven advancements in optimizing biopolymer production processes. ML techniques, applied across various stages production, enable the analysis complex data generated throughout identifying patterns and insights not easily observed through traditional methods. As sustainable alternatives to petrochemical-based plastics, biopolymers present unique challenges due their reliance on variable bio-based feedstocks processing conditions. This review systematically summarizes current applications techniques aiming provide a comprehensive reference for future research while highlighting potential enhance efficiency, reduce costs, improve product quality. also shows role algorithms, including supervised, unsupervised, deep

Язык: Английский

Процитировано

5

Hierarchical construction of amorphous NiCo-OHS@ZnS hollow spheres with optimized reaction kinetics via ion exchange-etching strategy for energy storage DOI
Shuai Jia, Zhao Qing, Maoyong He

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 494, С. 153215 - 153215

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

4

Constructing self-supported Pt/MoO2 on molybdenum mesh for a highly efficient hydrogen evolution reaction DOI
Jin Li, Panpan Zhang,

Yunli Yang

и другие.

Inorganic Chemistry Frontiers, Год журнала: 2024, Номер 11(12), С. 3596 - 3606

Опубликована: Янв. 1, 2024

Pt is efficiently deposited onto a self-supported MoO 2 electrode with low loading, resulting in excellent performance the HER process.

Язык: Английский

Процитировано

3

Facile hydrothermal synthesis of ZnIn2S4/TiO2 nanosheets for promoted hydrogen evolution reaction DOI

Jikang Zhao,

Fen Qiao,

Qingan Sun

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 82, С. 636 - 645

Опубликована: Авг. 3, 2024

Язык: Английский

Процитировано

3

A general approach to construct alien metal atoms (Al, Cr, Mn, Fe, Co, Ni, Cu, Zn) doped in tin-phthalic acid complex for superior lithium storage DOI
Zibo Zhao, Naiteng Wu, Xiting Wang

и другие.

Rare Metals, Год журнала: 2024, Номер unknown

Опубликована: Авг. 16, 2024

Язык: Английский

Процитировано

3