Communication: pair interaction ordering in fluids with random interactions.

Area of Science:

• Computational physics
• Soft matter physics
• Statistical mechanics

Background:

• Understanding the behavior of multi-component systems is crucial in various scientific fields.
• Previous studies often focused on systems with identical or limited types of particles.

Purpose of the Study:

• To investigate the structural and dynamic properties of two-dimensional (2D) multi-component systems where all particles are distinct (all-particle-different or APD).
• To determine if and how these systems self-organize under specific interaction conditions.

Main Methods:

• Utilized 2D molecular dynamics simulations.
• Employed Lennard-Jones potentials for particle interactions.
• Varied the distribution of pair interaction parameters (uniform and peaked).

Main Results:

• Systems were studied at temperatures above the freezing transition.
• Observed a relaxation from a random state into a non-random, ordered state.
• Identified particle clustering based on pair interaction parameters, termed particle-identity ordering.

Conclusions:

• Two-dimensional all-particle-different fluids exhibit spontaneous self-organization.
• Particle-identity ordering is a key characteristic of these systems above the freezing point.
• The nature of interaction parameter distribution influences the emergent ordering.