2 papers
cond-mat.soft2025
Machine-Learning Potentials for Efficient Simulations of Anisotropic Colloids
B. Rusen Argun, Antonia Statt
Simulating interactions between non-spherical colloidal particles is computationally challenging due to the complex dependency of forces and energies on their geometry. We introduc…
cond-mat.soft2024
Molecular Dynamics Simulations of Anisotropic Particles Accelerated by Neural-Net Predicted Interactions
B. Rusen Argun, Yu Fu, Antonia Statt
Rigid bodies, made of smaller composite beads, are commonly used to simulate anisotropic particles with molecular dynamics or Monte Carlo methods. To accurately represent the parti…