Pseudocapacitance is capable of both high power and energy densities owing to its fast chemical adsorption with substantial charge transfer. 2D transition‐metal carbides/nitrides (MXenes) are an emerging class of pseudocapacitive electrode materials. However, the factors that dominate the physical and chemical properties of MXenes are intercorrelated with each other, giving rise to challenges in the quantitative assessment of their discriminating importance. In this perspective, literature data on the specific capacitance of MXene electrodes in aqueous electrolytes is comprehensively surveyed and analyzed using machine‐learning techniques. The specific capacitance of MXene electrodes shows strong dependency on their interlayer spacing, where confined H2O in the interlayer space should play a key role in the charge storage mechanism. The electrochemical behavior of MXene electrodes is overviewed based on atomistic insights obtained from data‐driven approaches.

中文翻译：

---

水电解质中 MXene 电荷存储的机器学习辅助调查

由于其快速化学吸附和大量电荷转移，赝电容能够具有高功率和能量密度。二维过渡金属碳化物/氮化物（MXene）是一类新兴的赝电容电极材料。然而，主导 MXene 物理和化学性质的因素是相互关联的，这给定量评估其区分重要性带来了挑战。从这个角度来看，使用机器学习技术全面调查和分析了有关 MXene 电极在水性电解质中比电容的文献数据。 MXene 电极的比电容显示出对其层间距的强烈依赖性，其中限制了 H2层间空间中的O应该在电荷存储机制中发挥关键作用。基于从数据驱动方法获得的原子见解，概述了 MXene 电极的电化学行为。