Simulating Hard Rigid Bodies
Cristiano De Michele

TL;DR
This paper develops algorithms for simulating systems of convex hard rigid bodies, enabling more realistic modeling of complex particles in condensed matter, biology, and soft matter through event-driven molecular dynamics.
Contribution
It introduces new algorithms for calculating distances and contact times between convex rigid bodies, and an optimized collision detection method for elongated particles.
Findings
Algorithms successfully simulate convex rigid bodies.
Enhanced collision detection improves efficiency.
Applications span multiple scientific fields.
Abstract
Several physical systems in condensed matter have been modeled approximating their constituent particles as hard objects. The hard spheres model has been indeed one of the cornerstones of the computational and theoretical description in condensed matter. The next level of description is to consider particles as rigid objects of generic shape, which would enrich the possible phenomenology enormously. This kind of modeling will prove to be interesting in all those situations in which steric effects play a relevant role. These include biology, soft matter, granular materials and molecular systems. With a view to developing a general recipe for event-driven Molecular Dynamics simulations of hard rigid bodies, two algorithms for calculating the distance between two convex hard rigid bodies and the contact time of two colliding hard rigid bodies solving a non-linear set of equations will be…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
