Proceedings of MATSUS Spring 2025 Conference (MATSUSSpring25)
DOI: https://doi.org/10.29363/nanoge.matsusspring.2025.658
Publication date: 16th December 2024
MXene, a novel class of two-dimensional materials, holds immense potential for revolutionizing energy storage systems due to its exceptional electrical conductivity, large surface area, and ability to accommodate various ions, thereby enhancing the performance of batteries and supercapacitors. [1-2]
In this pioneering study, state-of-the-art operando microscopy – interferometric scattering microscopy (iSCAT) – is employed to reveal the intricacies of ion diffusion within MXene nanostructures at the single-nanoparticle level (Fig. 1). iSCAT has already provided unique insights in various fields, from quantitative mass imaging of single macromolecules in biology [3-4] to elucidating ultrafast mechanisms in materials synthesis, such as the early-stage formation of covalent organic frameworks.[5] This research delivers an in-depth analysis of ion transport and charge transfer dynamics within 2D MXene structures, influenced by factors such as sheet size and thickness. The use of non-invasive operando microscopy for real-time tracking has provided critical insights into how these variables affect ion mobility within MXene frameworks. Notably, the study identifies how ion diffusion contributes to power density at the nanoparticle level, offering precise measurements of charge transport boundaries in MXene films.
These breakthroughs are crucial for advancing energy storage technologies, offering deeper insights into ultrafast nanoscale processes and the impact of nanoparticle heterogeneity on device performance at a larger scale.
Fig. 1. Progressive stages of ion diffusion in a single MXene nanoparticle observed under operando conditions, depicted in a sequence from left to right.
[1] A. Vahidmohammadi et al., Science, 372, eabf1581 (2021).
[2] X. Li, et al.,, Nature Reviews Chemistry, 6, 389–404 (2022).
[3] G. Young et al., Science, 360 (6387), 423–427 (2018).
[4] M. Dahmardeh et al., Nature Methods, 20, 442–447 (2023).
[5] C. Gruber et al., Nature, 630, 872–877 (2024).