Monte Carlo Simulation of Dense Packings of Hard Tetrahedra

Monday, November 9, 2009: 3:55 PM
Hermitage A (Gaylord Opryland Hotel)

Amir Haji-Akbari, Chemical Engineering, University of Michigan- Ann Arbor, Ann Arbor, MI
Michael Engel, Chemical Engineering, University of Michigan- Ann Arbor, Ann Arbor, MI
Aaron S. Keys, Department of Chemical Engineering, University of Michigan, Ann Arbor, MI
Xiaoyu Zheng, Mathematics, Kent State University, Kent, OH
Rolfe Petschek, Physics, Case Western Reserve University, Cleveland, OH
Peter Palffy-Muhoray, Liquid Crystal Institute, Kent State University, Kent, OH
Sharon C. Glotzer, Chemical Engineering, University of Michigan, Ann Arbor, MI

The densest packing of tetrahedra remains an unsolved problem, and there has been much recent debate. We simulate dense packings of mathematically smooth, hard regular tetrahedra using NPT Monte Carlo simulations and determine the density- pressure equation of state. We find disordered and ordered packings with densities that significantly exceed the hard-sphere FCC packing density of 0.740480490. Our findings thus demonstrate that tetrahedra obey Ulam's conjecture that spheres pack with a lower maximum packing density than any other hard convex object, despite recent conjecture to the contrary. We show that the system is able to achieve such high packing densities by the local ordering of tetrahedra into certain favorable motifs, forming larger structures that pack efficiently but are overall jammed.
Extended Abstract: File Not Uploaded
See more of this Session: Thermodynamic Properties and Phase Behavior III
See more of this Group/Topical: Engineering Sciences and Fundamentals