Inverse design of equilibrium cluster fluids applied to a physically informed model.

Area of Science:

• Colloid and interface science
• Computational physics
• Materials science

Background:

• Inverse design aids in discovering interaction potentials for self-assembly.
• Optimized interactions may lack direct experimental relevance.

Purpose of the Study:

• To demonstrate Relative Entropy minimization for discovering physically meaningful parameters.
• To achieve self-assembly of size-specific clusters using depletion attraction and electrostatic repulsion.
• To assess the robustness of discovered potentials against parameter deviations.

Main Methods:

• Utilized Relative Entropy minimization for inverse design.
• Modeled particle interactions with depletion attraction and electrostatic repulsion.
• Performed sensitivity analysis on optimized interaction potentials.

Main Results:

• Identified physically meaningful parameter sets leading to size-specific cluster self-assembly.
• Demonstrated that clustering behavior is largely preserved despite perturbations in physical quantities.
• Showcased the discovery of tunable interaction potentials.

Conclusions:

• Relative Entropy minimization is a viable method for discovering experimentally relevant self-assembly potentials.
• The discovered potentials offer a pathway to designing specific colloidal structures.
• The robustness of the method suggests practical applicability in materials design.