Benzotrithiophene-sulfonate covalent-organic frameworks: Supramolecular proton pumps for high-rate aqueous zinc-ion energy storage systems
Haijun Peng , Verónica Montes-García , Kaiyue Jiang , Dawid Pakulski , Shunqi Xu , Michał Bielejewski , Fanny Richard , Xiaodong Zhuang , Paolo Samorì , Artur Ciesielski
SmartMat ›› 2024, Vol. 5 ›› Issue (6) : e1312
Benzotrithiophene-sulfonate covalent-organic frameworks: Supramolecular proton pumps for high-rate aqueous zinc-ion energy storage systems
Proton chemistry is becoming a focal point in the development of zinc-ion energy storage devices due to its swift H+ insertion/extraction kinetics. This characteristic feature confers to electrodes a remarkable power density, rate capability, and prolonged cycling durability. However, the storage mechanism of H+ in electrodes based on covalent-organic frameworks (COFs) has not been thoroughly investigated. In this work, we introduce an unprecedented concept involving a supramolecular approach based on the design of a benzotrithiophene-sulfonate COF (COF-BTT-SO3H) with remarkable storage capacity for simultaneous insertion and extraction of H+ and Zn2+. The ad hoc positioning of the -SO3H groups within the COF-BTT-SO3H structure facilitates the formation of a robust H-bonded network. Through density functional theory calculations and employing in situ and ex situ analyses, we demonstrate that this network functions as a spontaneous proton ion pump leading to enhanced ion-diffusion kinetics and exceptional rate performance in zinc-ion energy storage devices. COF-BTT-SO3H reveals a high capacity of 294.7 mA h/g (0.1 A/g), a remarkable maximum energy density of 182.5 W h/kg, and power density of 14.8 kW/kg, which are superior to most of the reported COF-based electrodes or other organic and inorganic electrode materials in Zn2+ energy storage devices.
charge storage mechanism / covalent-organic frameworks / functional porous materials / proton pump / zinc-ion energy storage devices
| [1] |
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| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
2024 The Author(s). SmartMat published by Tianjin University and John Wiley & Sons Australia, Ltd.
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