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α-MnO对锂空气电池阴极的催化性能:密度泛函研究

Catalytic properties of α-MnO for Li-air battery cathodes: a density functional investigation.

作者信息

Alam Khorsed, Seriani Nicola, Sen Prasenjit

机构信息

Harish-Chandra Research Institute, HBNI, Chhatnag Road, Jhunsi, Allahabad 211019, India.

出版信息

Phys Chem Chem Phys. 2020 May 7;22(17):9233-9239. doi: 10.1039/c9cp06081b. Epub 2020 Apr 20.

DOI:10.1039/c9cp06081b
PMID:32307466
Abstract

Details of the formation and dissociation of the first layer of LiO on the α-MnO(100) surface as the cathode in Li-air batteries have been studied using first principles density functional theory. The bias dependence of the electrochemical steps of charge (LiO dissociation) and discharge (LiO formation) via two different mechanisms has been studied. Discharge potential is found to be 2.94 V for the mechanism in which O adsorption is followed by lithiation. Charging potential for the reverse process is 3.37 V, giving an overpotential of 0.43 V, which is much lower than that on carbon electrodes. This is also in good agreement with experiments on α-MnO cathodes. In LiO formation via the disproportionation of two LiO adsorbates, a maximum discharge potential of 2.61 V and a minimum charging potential of 3.48 V are obtained. The minimum energy pathway in this mechanism has a moderate kinetic barrier of 0.57 eV. Charging potentials of 3.37 V and 3.48 V imply that the typical charging potentials applied in the experiments (∼3.8 V) will dissociate the entire LiO layer. These findings explain why α-MnO performs so well as a catalyst in Li-air battery cathodes, and suggest that a larger area of α-MnO(100) can help reduce capacity loss.

摘要

利用第一性原理密度泛函理论研究了锂空气电池中作为阴极的α-MnO(100)表面上LiO第一层的形成和解离细节。研究了通过两种不同机制的电荷(LiO解离)和放电(LiO形成)电化学步骤的偏压依赖性。对于O吸附后锂化的机制,发现放电电位为2.94 V。反向过程的充电电位为3.37 V,过电位为0.43 V,远低于碳电极上的过电位。这也与α-MnO阴极的实验结果高度吻合。在通过两个LiO吸附物的歧化形成LiO的过程中,获得了2.61 V的最大放电电位和3.48 V的最小充电电位。该机制中的最小能量路径具有0.57 eV的适度动力学势垒。3.37 V和3.48 V的充电电位意味着实验中施加的典型充电电位(~3.8 V)将使整个LiO层解离。这些发现解释了为什么α-MnO在锂空气电池阴极中作为催化剂表现如此出色,并表明更大面积的α-MnO(100)有助于减少容量损失。

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