Defining random loose packing for nonspherical grains.

Phys Rev E Stat Nonlin Soft Matter Phys

CSIRO Mathematics, Informatics and Statistics, Clayton South, VIC 3169, Australia.

Published: May 2011

The concept of "random loose packing" (RLP) has evolved through extensive study of loose packings of spheres, which has resulted in an accepted definition as the loosest packing that can be obtained by pouring grains. We extend this consideration to packings of nonspherical grains (ellipsoids) formed by slow settling in a viscous liquid, and perform a detailed analysis of the structural properties of the resulting packings. We find that as in the case of spheres the loosest ellipsoid packings are generated for grains with high interparticle friction. However, unlike spheres, these packings cannot be considered random as they have a significant degree of orientational ordering that increases with the grain's aspect ratio. This demonstrates that applying sedimentation or pouring techniques that have become part of the commonly held definition of RLP, will not generate random packings of ellipsoids. The consequences for the accepted definition of RLP and its applicability to nonspherical grains is discussed.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.83.051305DOI Listing

Publication Analysis

Top Keywords

nonspherical grains
12
accepted definition
8
definition rlp
8
packings
6
grains
5
defining random
4
random loose
4
loose packing
4
packing nonspherical
4
grains concept
4

Similar Publications

Physics-based, atom-centered machine learning (ML) representations have been instrumental to the effective integration of ML within the atomistic simulation community. Many of these representations build off the idea of atoms as having spherical, or isotropic, interactions. In many communities, there is often a need to represent groups of atoms, either to increase the computational efficiency of simulation via coarse-graining or to understand molecular influences on system behavior.

View Article and Find Full Text PDF

Effect of Particle Shape on the Flow of an Hourglass.

Phys Rev Lett

August 2024

Institute for Solid State Physics and Optics, HUN-REN Wigner Research Centre for Physics, P.O. Box 49, H-1525 Budapest, Hungary.

The flow rate of a granulate out of a cylindrical container is studied as a function of particle shape for flat and elongated ellipsoids experimentally and numerically. We find a nonmonotonic dependence of the flow rate on the grain aspect ratio a/b. Starting from spheres the flow rate grows and has two maxima around the aspect ratios of a/b≈0.

View Article and Find Full Text PDF

Synthetic Force-Field Database for Training Machine Learning Models to Predict Mobility-Preserving Coarse-Grained Molecular-Simulation Potentials.

J Chem Theory Comput

April 2024

Eduard-Zintl-Institut für Anorganische und Physikalische Chemie, Technische Universität Darmstadt, Peter-Grünberg-Str. 8, 64287 Darmstadt, Germany.

Balancing accuracy and efficiency is a common problem in molecular simulation. This tradeoff is evident in coarse-grained molecular dynamics simulation, which prioritizes efficiency, and all-atom molecular simulation, which prioritizes accuracy. Despite continuous efforts, creating a coarse-grained model that accurately captures both the system's structure and dynamics remains elusive.

View Article and Find Full Text PDF

Surface-active ionic liquids (SAILs) show great promise as novel green solvents due to their low vapor pressure, high thermal stability, high electrical conductivity, and bio-friendly nature to replace traditional volatile organic solvents in industrial processes. In the present work, the combination of coarse-grained (CG) molecular dynamics (MD) simulations with conductivity measurements was employed to explain the correlation between the micelle morphology and physicochemical and thermodynamic properties of self-assembly. A homologous series of SAIL molecules, 1--alkyl-3-methylimidazolium bromide [Cmim][Br] ( = 4, 6, 8, 10, and 12), were chosen at various concentrations to shed light on this issue.

View Article and Find Full Text PDF
Article Synopsis
  • Quantitative analysis of complex multi-cellular structures in living organisms is crucial for understanding their diverse 3D shapes, but traditional microscopy methods struggle due to tissue geometry.
  • A new FIJI plugin called VolumePeeler has been developed to facilitate virtual "peeling" of tissue layers, improving the visualization and analysis of 3D microscopy images.
  • VolumePeeler is freely available through the ImageJ/FIJI software platform, along with source code, examples, and tutorials for users.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!