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Harnessing the Potential of High-Performance Organic Cathodes

Zinc, which is inexpensive, abundant, and ecologically friendly, could be the answer to better batteries, but there is a huge issue: In terms of power output, aqueous zinc ion batteries (AZIBs) cannot compete with lithium-ion batteries. To see what electrode material composition could bring AZIBs up to par, a Chinese research team created two organic frameworks with the same elements but arranged differently.
Fanbin Zeng Tengfei Zhang Meilin Li Cuiping Han Skyla Baily Qingming Liu
Source: azom.com

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Flexing crystalline structures provide path to a solid energy future: Machine learning approach opens insights into an entire class of materials being pursued for solid-state batteries

Researchers have uncovered the atomic mechanisms that make a class of compounds called argyrodites attractive candidates for both solid-state battery electrolytes and thermoelectric energy converters. The discoveries -- and the machine learning approach used to make them -- could help usher in a new era of energy storage for applications such as household battery walls and fast-charging electric vehicles.
Olivier Delaire Mayanak Gupta Chinese Academy Of Science Shanghai Education Development Foundation Key Laboratory Of Artificial Structures Research Foundation

Long or short menstrual cycles linked to high

An analysis of data for more than 58,000 women in the U.K. Biobank found that both short (less than 21 days) or long (more than 35 days) menstrual cycles were associated with the development of cardiovascular disease, heart attack or atrial fibrillation (AFib). Short or long menstrual cycle length was associated with a 19% higher risk of heart disease among those women compared to women with menstrual cycle length between 22 to 34 days. Irregular menstrual cycle length was associated with a 40% ...
United Kingdom United States Weiwei Wang Xueyun Wei Jiayang Lin Deying Liu

Flexing crystalline structures provide path t

A team of researchers at Duke University and their collaborators have uncovered the atomic mechanisms that make a class of compounds called argyrodites attractive candidates for both solid-state battery electrolytes and thermoelectric energy converters. The discoveries—and the machine learning approach used to make them—could help usher in a new era of energy storage for applications such as household battery walls and fast-charging electric vehicles.
Xin Tong Siqi Lin Qingyong Ren Zhiwei Chen Zhenxiang Cheng Jie Ma

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