Charge dynamics of individual conductance channels within a percolation network of a nano-patterned nanocrystal quantum dot solid
Xiangxi Yin, Bence Papp, Shane Revel, Sk Tahmid Shahriar, Tamar S. Mentzel
Published: 2025/10/1
Abstract
Colloidal nanocrystal quantum dots (QD) enable the bottom-up assembly of designer solids. Among the multitudinous applications of QD solids, there has been great success in exploiting the tunable optical properties for LED displays, lighting, bioimaging and diagnostics. Applications dependent on electrical properties such as solar cells, photodetectors, and transistors have fallen short of their full potential because of poor control over electrical properties, and some of applications with the most promise for novelty, such as a solid-state quantum simulator for quantum computation and spintronics, are stagnant. Lack of clarity on the charge transport mechanism has been a significant barrier to progress, particularly as numerous sources of disorder are present. In this work, we make advancements in a nano-patterning technique to fabricate a 70-nm wide QD solid that is also free of several sources of structural defects. Owing to the small size and structural integrity, we isolate the charge dynamics of a single conductance channel within a percolation network. We tune parameters to measure ~10 channels, and with a time-resolved measurement, we find conductance noise that exceeds 100% of the average current. From observation of the long-time dynamics of the charge transport, including random telegraph noise, colored noise and attractor states, we model the transport with stochastic quasi-one-dimensional percolation paths. With this insight into the charge transport of QD solids unimpeded by structural defects, we provide a path for the rational design of a QD solid with electrical properties that reflect the underlying tunable, periodic potential.