Predicting structure and swelling of microgels with different crosslinker concentrations combining machine-learning with numerical simulations

Key Points

• Microgel swelling and internal structure are predicted effectively using computational techniques, showing important applications.
• Analysis integrates various crosslinker concentrations and identifies significant relationships influencing particle behavior.
• Machine-learning combined with numerical simulations enhances predictive capabilities for soft particle systems.
• Insights may enable improved design of microgels with tailored responses for various applications.