We investigate non-equilibrium emergent behaviors in soft matter and biophysics with computer simulations, machine learning techniques, and theory.
Our goal is to formulate theoretical frameworks that unveil the interplay of activity, force generation, and emergent architectures.
• Self-organization in Cytoskeletal Networks • Biological Ice Nucleation
• Nucleation in Active Biophysics Systems • Driven Soft Matter and Amorphous Materials
• Statistical Mechanics • Non-Equilibrium Thermodynamics • Machine Learning
• Agent-based Simulations • Coarse-Grained Models • Molecular Dynamics • Kinetic Monte Carlo
• Nucleation in Active Biophysics Systems • Driven Soft Matter and Amorphous Materials
• Statistical Mechanics • Non-Equilibrium Thermodynamics • Machine Learning
• Agent-based Simulations • Coarse-Grained Models • Molecular Dynamics • Kinetic Monte Carlo
