Meiqi Fei

Graphite felt electrodes constructed based on etching-induced C–Na/C–Cl bonds for high-efficiency iron-chromium redox flow batteries

Ziang Chen, Shuqi Liu, Haochang Li, Meiqi Fei et autres

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Review of Polybenzimidazole-Based Membranes in Energy Storage and Conversion Devices: Conductivity Optimization Modification Strategies

Meiqi Fei, Wenxuan Li, Shuqi Liu, Shuang Zhi Yan et autres

Abstract Polybenzimidazole (PBI) membranes are promising for energy storage and conversion applications, including fuel cells, redox flow batteries, and lithium-ion batteries, due to their thermal stability, chemical inertness, and proton conductivity. This review systematically examines key strategies for optimizing PBI membrane conductivity, …

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NH4Cl-induced chromium ion coordination rearrangement facilitates Fe/Cr electrolyte activation and recovery

Shuqi Liu, Bowen Qu, Meiqi Fei, Shuang Yan et autres

Boosting Iron-Chromium Redox Flow Batteries via NaCl-Induced Short-Rod High-Entropy Alloy/Graphite Felt Electrodes

Ziang Chen, Weiyou Fan, Shuqi Liu, Haochang Li et autres

This study aims to tackle the performance limitations of electrode materials for iron-chromium redox flow batteries (ICRFBs) through the development of a short-rod high-entropy alloy (HEA)/graphite felt (GF) composite electrode. By utilizing NaCl as both a template agent and a flux, BiInSnFeTi …

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Optimization of ion-regulated polybenzimidazole membrane structure for iron–chromium redox flow battery application

Meiqi Fei, Huan Zhang, Shuqi Liu, Ziang Chen et autres

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A Multiscale Multi-Feature Deep Learning Model for Airborne Point-Cloud Semantic Segmentation

Peipei He, Zheng Ma, Meiqi Fei, Wenkai Liu et autres

In point-cloud scenes, semantic segmentation is the basis for achieving an understanding of a 3D scene. The disorderly and irregular nature of 3D point clouds makes it impossible for traditional convolutional neural networks to be applied directly, and most deep learning point-cloud …

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