# Random pinning elucidates the nature of melting transition in two-dimensional core-softened potential system

## TL;DR

This study uses random pinning in molecular dynamics simulations to better understand the melting transition in two-dimensional core-softened potential systems, revealing an expanded hexatic phase without altering the transition scenario.

## Contribution

It introduces a novel application of random pinning to investigate the hexatic phase in 2D melting, providing clearer insights into the transition behavior.

## Key findings

- Random pinning widens the hexatic phase.
- The melting scenario remains unchanged with pinning.
- Diffusivity and order parameters are analyzed near the transition.

## Abstract

Despite about forty years of investigations, the nature of the melting transition in two dimensions is not completely clear. In the framework of the most popular Berezinskii-Kosterlitz-Thouless-Halperin-Nelson-Young (BKTHNY) theory, 2D systems melt through two continuous Berezinskii-Kosterlitz-Thouless (BKT) transitions with intermediate hexatic phase. The conventional first-order transition is also possible. On the other hand, recently on the basis of computer simulations the new melting scenario was proposed with continuous BKT type solid-hexatic transition and first order hexatic-liquid transition. However, in the simulations the hexatic phase is extremely narrow that makes its study difficult. In the present paper, we propose to apply the random pinning to investigate the hexatic phase in more detail. The results of molecular dynamics simulations of two dimensional system having core-softened potentials with narrow repulsive step which is similar to the soft disk system are outlined. The system has a small fraction of pinned particles giving quenched disorder. Random pinning widens the hexatic phase without changing the melting scenario and gives the possibility to study the behavior of the diffusivity and order parameters in the vicinity of the melting transition and inside the hexatic phase.