基于机器学习模拟的银汞石固体电解质中阴离子对锂的定位（能源材料，48/2024）

IF 26 1区材料科学 Q1 CHEMISTRY, PHYSICAL

Advanced Energy Materials Pub Date : 2024-12-28 DOI:10.1002/aenm.202470217

Hyun-Jae Lee, Hyeonjung Kim, Sungyoung Ji, Kyuri Choi, Ho Choi, Woosang Lim, Byungju Lee

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引用次数: 0

摘要

固体电解质

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Lithium Localization by Anions in Argyrodite Solid Electrolytes from Machine-Learning-based Simulations (Adv. Energy Mater. 48/2024)

查看原文本刊更多论文

Lithium Localization by Anions in Argyrodite Solid Electrolytes from Machine-Learning-based Simulations (Adv. Energy Mater. 48/2024)

Solid Electrolytes

In article number 2402396, Byungju Lee and co-workers employ artificial intelligence (AI) to investigate lithium-ion transport within solid electrolytes using large-scale molecular dynamics simulations. By integrating AI-driven insights, it provides a detailed understanding of ion dynamics, aiming to enhance the performance of lithium-ion batteries and guide the development of next-generation solid-state energy storage systems. This approach offers a novel pathway for optimizing battery efficiency.

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来源期刊

Advanced Energy Materials CHEMISTRY, PHYSICAL-ENERGY & FUELS

CiteScore

41.90

自引率

4.00%

发文量

889

审稿时长

1.4 months

期刊介绍： Established in 2011, Advanced Energy Materials is an international, interdisciplinary, English-language journal that focuses on materials used in energy harvesting, conversion, and storage. It is regarded as a top-quality journal alongside Advanced Materials, Advanced Functional Materials, and Small. With a 2022 Impact Factor of 27.8, Advanced Energy Materials is considered a prime source for the best energy-related research. The journal covers a wide range of topics in energy-related research, including organic and inorganic photovoltaics, batteries and supercapacitors, fuel cells, hydrogen generation and storage, thermoelectrics, water splitting and photocatalysis, solar fuels and thermosolar power, magnetocalorics, and piezoelectronics. The readership of Advanced Energy Materials includes materials scientists, chemists, physicists, and engineers in both academia and industry. The journal is indexed in various databases and collections, such as Advanced Technologies & Aerospace Database, FIZ Karlsruhe, INSPEC (IET), Science Citation Index Expanded, Technology Collection, and Web of Science, among others.