Layered double hydroxide-based nanomaterials for supercapacitors and batteries: Strategies and mechanisms

Progress in Materials Science, Год журнала: 2024, Номер unknown, С. 101410 - 101410

Опубликована: Дек. 1, 2024

Язык: Английский

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Challenges and strategies for zinc anodes in aqueous Zinc-Ion batteries

Chemical Engineering Journal, Год журнала: 2025, Номер 507, С. 160615 - 160615

Опубликована: Фев. 13, 2025

Язык: Английский

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AI unveils metal-support interaction principle to optimize catalyst design

Chem Catalysis, Год журнала: 2025, Номер 5(1), С. 101231 - 101231

Опубликована: Янв. 1, 2025

Язык: Английский

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Computational Single-Atom Catalyst Database Empowers the Machine Learning Assisted Design of High-Performance Catalysts

The Journal of Physical Chemistry C, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

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Role of artificial intelligence in the design and discovery of next-generation battery electrolytes

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

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Novel approaches to aqueous zinc-ion batteries: Challenges, strategies, and prospects

eScience, Год журнала: 2025, Номер unknown, С. 100410 - 100410

Опубликована: Апрель 1, 2025

Язык: Английский

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Chemical perspectives on synthesis, functionalization, artificial intelligence, and energy storage applications of layered double hydroxides-based nanomaterials: A comprehensive review

Coordination Chemistry Reviews, Год журнала: 2025, Номер 537, С. 216705 - 216705

Опубликована: Апрель 16, 2025

Язык: Английский

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