Nucleation and Growth Mechanisms of Micro/Nano Structural Manganese‐Trimesic Acid Coordinations for Aqueous Zinc‐Ion Batteries

Nucleation and growth of metal-organic frameworks (MOFs) are critical for controlling their morphology, size, and performance. Guided by the crystal nucleation and growth theory, this study systematically explored the effects of the sequential addition of ligand trimesic acid (BTC) and manganese ions (Mn<sup>2+</sup>), ligand-to-metal ion ratio, solvent composition, and surfactants on the nucleation and growth of MnBTC. The regulatory mechanisms of the crystal morphology and internal structure were deeply revealed. Moreover, the established machine learning (ML) model can accurately predict the concentrations of ─COO<sup>-</sup> and Mn<sup>2+</sup>, providing important guidance for the controlled synthesis of MOFs in the future. In practical, the electrochemical performance of MnBTC with different morphologies and sizes was evaluated for aqueous zinc-ion batteries. The reaction mechanism of MnBTC during the charge-discharge process was investigated through a series of in situ and ex situ characterizations, and MnBTC demonstrated excellent energy-storage performance. This study opens a new window for the precise synthesis of MOFs, which show strongly controlled micro/nano structure and coordination environment based on the crystal nucleation and growth theory with the assistance of ML.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-05-23
DOI
https://doi.org/10.1002/anie.202509741
Citations
27
Primary Topic
Advanced battery technologies research
Type
article
Field-Weighted Citation Impact
19.72
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article

Nucleation and Growth Mechanisms of Micro/Nano Structural Manganese‐Trimesic Acid Coordinations for Aqueous Zinc‐Ion Batteries

Yizhou Zhang, Shengjie Gao, Haotian Yue, Yumeng Chen et al.
27 citations
Angewandte Chemie International Edition
Advanced battery technologies research
19.72
article

Nucleation and Growth Mechanisms of Micro/Nano Structural Manganese‐Trimesic Acid Coordinations for Aqueous Zinc‐Ion Batteries

Yizhou Zhang, Shengjie Gao, Haotian Yue, Yumeng Chen, Guoyin Zhu, Qianli Ma, Mohsen Shakouri, Yanfei Zhang, Yixuan Wang, Huan Pang, Xiaotian Guo, Huijie Zhou, Yonggang Wang, Zheng Liu, Zhangbin Yang, Jianfei Huang, Yu Liu
article en
27 citations

Abstract

Nucleation and growth of metal-organic frameworks (MOFs) are critical for controlling their morphology, size, and performance. Guided by the crystal nucleation and growth theory, this study systematically explored the effects of the sequential addition of ligand trimesic acid (BTC) and manganese ions (Mn<sup>2+</sup>), ligand-to-metal ion ratio, solvent composition, and surfactants on the nucleation and growth of MnBTC. The regulatory mechanisms of the crystal morphology and internal structure were deeply revealed. Moreover, the established machine learning (ML) model can accurately predict the concentrations of ─COO<sup>-</sup> and Mn<sup>2+</sup>, providing important guidance for the controlled synthesis of MOFs in the future. In practical, the electrochemical performance of MnBTC with different morphologies and sizes was evaluated for aqueous zinc-ion batteries. The reaction mechanism of MnBTC during the charge-discharge process was investigated through a series of in situ and ex situ characterizations, and MnBTC demonstrated excellent energy-storage performance. This study opens a new window for the precise synthesis of MOFs, which show strongly controlled micro/nano structure and coordination environment based on the crystal nucleation and growth theory with the assistance of ML.

Angewandte Chemie International EditionVol. 64(31)
Nanjing Tech University (CN), Fudan University (CN), University of Saskatchewan (CA), Nanjing Xiaozhuang University (CN), Collaborative Innovation Center of Chemistry for Energy Materials (CN), Yangzhou University (CN), Canadian Light Source (Canada) (CA), Nanjing University (CN)
Affordable and clean energy
Openalex Percentile: Top 0%
Advanced battery technologies research
19.72
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