Groda Yaroslav, Dudka Maxym, Kornyshev Alexei A, Oshanin Gleb, Kondrat Svyatoslav
Department of Mechanics and Engineering, Belarusian State Technological University, Sverdlova str., 13a, 220006 Minsk, Belarus.
Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine, 1 Svientsitskii st., 79011 Lviv, Ukraine.
J Phys Chem C Nanomater Interfaces. 2021 Mar 11;125(9):4968-4976. doi: 10.1021/acs.jpcc.0c10836. Epub 2021 Mar 1.
Mapping the theory of charging supercapacitors with nanostructured electrodes on known lattice models of statistical physics is an interesting task, aimed at revealing generic features of capacitive energy storage in such systems. The main advantage of this approach is the possibility to obtain analytical solutions that allow new physical insights to be more easily developed. But how general the predictions of such theories could be? How sensitive are they to the choice of the lattice? Herein, we address these questions in relation to our previous description of such systems using the Bethe-lattice approach and Monte Carlo simulations. Remarkably, we find a surprisingly good agreement between the analytical theory and simulations. In addition, we reveal a striking correlation between the ability to store energy and ion ordering inside a pore, suggesting that such ordering can be beneficial for energy storage.
将用纳米结构电极对超级电容器充电的理论映射到统计物理学的已知晶格模型上，是一项有趣的任务，旨在揭示此类系统中电容性能量存储的一般特征。这种方法的主要优点是有可能获得解析解，从而更容易产生新的物理见解。但是，此类理论的预测能有多普遍呢？它们对晶格的选择有多敏感呢？在此，我们结合之前使用贝塞晶格方法和蒙特卡罗模拟对此类系统的描述来回答这些问题。值得注意的是，我们发现解析理论与模拟之间有着惊人的良好一致性。此外，我们揭示了储能能力与孔内离子有序排列之间的显著相关性，这表明这种有序排列可能有利于能量存储。
