Self-assembly in systems based on L-cysteine-silver-nitrate aqueous solution: multiscale computer simulation

Area of Science:

• Supramolecular chemistry
• Computational materials science
• Physical chemistry

Background:

• Aqueous solutions of silver nitrate and L-cysteine (CSS) exhibit complex self-assembly behavior.
• Understanding the multiscale structure formation is crucial for controlling solution properties.

Purpose of the Study:

• To investigate the multiscale structure formation in CSS using computational simulations.
• To elucidate the role of silver mercaptide clusters and supramonomers in aggregate formation.
• To model the influence of salt concentration on structural transitions.

Main Methods:

• Fully atomistic simulations to identify cluster structure.
• Quantum mechanics calculations for intermolecular interactions.
• Mesoscopic simulations with a "sticky spheres" model for aggregate behavior.

Main Results:

• Atomistic models revealed core-shell silver mercaptide (SM) clusters.
• SM clusters act as supramonomers through surface functional group interactions.
• Mesoscopic models successfully reproduced CSS structural transitions (dispersion, gel, precipitation) with salt concentration.

Conclusions:

• The study provides a multiscale computational framework for understanding CSS self-assembly.
• Silver mercaptide cluster formation and supramonomer interactions are key to CSS structural evolution.
• The mesoscopic model accurately predicts experimentally observed phase behaviors based on salt concentration.