Stable cyclic ether as an electrolyte additive for high-performance lithium metal batteries.

Introducing a methyl group into 1,3-dioxolane (DOL) to obtain a stable cyclic ether, 4-methyl-1,3-dioxolane (4-Me DOL), allows it to be used as an additive in LiPF-based carbonate electrolytes. The addition of 4-Me DOL can form a stable SEI with good Li transport ability, which can simultaneously improve the rate capability and cycling performance of lithium metal batteries.

A bifunctional surfactant-like electrolyte additive for a stable lithium metal anode.

Nonafluorobutanesulfonyl fluoride (NtF) was developed as a bifunctional additive for enhancing the stability of the lithium metal anode. NtF can yield Nt and LiF. The presence of lithiophobic and lithiophilic groups in Nt facilitates the uniform deposition of Li, while LiF contributes to forming a stable solid electrolyte interphase.

Reactivation of an air-passivated lithium metal anode through halogen regulation.

A comprehensive study was conducted to investigate the failure mechanism of the lithium metal anode (LMA) in air. Simultaneously, an effective reactivation strategy was developed using halogen regulation. Specifically, iodine treatment converts the passivation layer of the exposed Li into LiI with fast Li transport ability, thereby improving the electrochemical performance.

A low-concentration all-fluorinated electrolyte for stable lithium metal batteries.

A low-concentration (0.5 M) all-fluorinated electrolyte (LCAFE) was designed to stabilize high-energy-density lithium metal batteries. Introducing fluorinated solvents can control the electrolyte's solvation structure, interfacial chemistry, and physicochemical properties.

Design and evaluation of maternal early warning system to reduce preventable maternal mortality in pregnancy and puerperium for high-risk women in China.

Background: The maternal early warning system is an effective tool to reduce maternal mortality and morbidity. However, there has been limited research on developing a maternal early warning system especially suitable for Chinese high-risk pregnant women.

Objective: The purpose is to develop a maternal early warning system to reduce preventable maternal mortality in pregnancy and puerperium in high-risk women in China.

Prediction model for aerodynamic coefficients of iced quad bundle conductors based on machine learning method.

The lift, drag and torsional moment coefficients, versus wind attack angle of iced quad bundle conductors in the cases of different conductor structure, ice and wind parameters are numerically simulated and investigated. With the Latin hypercube sampling and numerical simulation, sampling points are designed and datasets are created. Set the number of sub-conductors, wind attack angle, bundle spacing, ice accretion angle, ice thickness, wind velocity and diameter of the conductor as the input variables, a prediction model for the lift, drag and moment coefficients of iced quad bundle conductors is created, trained and tested based on the dataset and extra-trees algorithm.