Dynamic ordering transitions in charged solid

TL;DR

This paper investigates dynamic ordering transitions in charged electron bubble states within a 2D electron gas, revealing how noise spectrum analysis uncovers transitions between ordered and disordered phases driven by external parameters.

Contribution

It introduces noise spectrum analysis as a novel method to study dynamic ordering transitions in electron bubble states, highlighting phenomena not observable through conventional measurements.

Findings

Detection of transitions between ordered and disordered states via noise spectra

Observation of spontaneous alternations between different dynamic phases

Demonstration of tuning system behavior through external parameters

Abstract

The phenomenon of group motion is common in nature, ranging from the schools of fish, birds and insects, to avalanches, landslides and sand drift. If we treat objects as collectively moving particles, such phenomena can be studied from a physical point of view, and the research on many-body systems has proved that marvelous effects can arise from the simplest individuals. The motion of numerous individuals presents different dynamic phases related to the ordering of the system. However, it is usually difficult to study the dynamic ordering and their transitions through experiments. Electron bubble states formed in a two-dimensional electron gas, as a type of electron solids, can be driven by an external electric field and provide a platform to study the dynamic collective behaviors. Here, we demonstrate that noise spectrum is a powerful method to investigate the dynamics of bubble states. We observed not only the phenomena from dynamically ordered and disordered structures, but also unexpected alternations between them. Our results show that a dissipative system can convert between chaotic structures and ordered structures when tuning global parameters, which is concealed in conventional transport measurements of resistance or conductance. Moreover, charging the objects to study electrical noise spectrum in collective motions can be an additional approach to revealing dynamic ordering transitions.