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Recent Work on Random Close Packing

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Recent Work on. Random Close Packing. 1. Polytetrahedral Nature of the Dense ... In the paper Is Random Close Packing of Spheres Well Defined, they didn't come ... – PowerPoint PPT presentation

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Title: Recent Work on Random Close Packing


1
Recent Work on Random Close Packing
2
  • 1. Polytetrahedral Nature of the Dense
    Disordered Packings of Hard Spheres
  • PRL 98, 235504 (2007)
  • A.V. Anikeenko and N. N. Medvedev
  • 2. Is Random Close Packing of Spheres Well
    Defined?
  • VOLUME 84, NUMBER 10 (2000)
  • S. Torquato, T.M. Truskett, P. G. Debenedetti

3
The History
  • J D Bernal raised the question in 1960 from
    observation
  • In the last 48 years, much research was done over
    this, but so far, few satisfactory conclusions
    have been reached

4
Why This Is An Important Question
  • We can obtain a better insight of phase
    transition
  • An EXPERT should be able to show you more its
    importance,
  • but sorry, I am just a small potato

5
Definition (From Observation)
  • The traditional experiments indicated an
    interesting limit 0.636
  • One such experiment is done in 1969, limiting
    value 0.637 was obtained simply from experiments.
  • Nowadays, 2 ways of simulations are mainly applied

6
Can We Have A Theoretical Definition?
  • Jammed system means all particles are jammed
  • Introducing a parameter that quantifies order
    (difficult one, may be subjective)
  • Maximally Random Jammed (MRJ) system is the one
    we desire, and its volume fraction is the RCP
    limit

7
Theoretical Definition By Introducing the Concept
ofMaximally random jammed
  • A schematic plot of the order parameter
    versus volume fraction for a system of
    identical spheres

8
Independent of how we quantify order?
  • Can we use simulations to have a feeling for
    the probability distribution for RCP to answer
    the question above?

9
How Can We Quantify Order
  • In the paper Is Random Close Packing of Spheres
    Well Defined, they didnt come up with an exact
    and simple way to quantify the order
  • The paper Polytetrahedral Nature of the Dense
    Disordered Packings of Hard Spheres showed us an
    interesting phenomenon, which inspired me a
    simple way to quantify order

10
Quantify Order Using Polytetrahedral Nature
  • In a tetrahedron, maximal edge length is emax,
    minimal edge length is 1 (i.e. the diameter of
    the sphere)
  • Define a value
  • Small values of unambiguously indicate that
    the shape of the simplex is close to regular
    tetrahedron with unit edges.

11
Define tetrahedra
  • By simply trying, they found that the best value
    may be
  • Here, we realize that the choose of the value
    0.225 may be subjective. But, as we go on, we saw
    phenomena independent of 0.225. And, 0.225 may
    just be a most obvious value

12
Volume fraction of tetrahedra
13
Fraction of spheres involved in tetrahedra
14
Polytetrahedral Aggregates
  • Definition
  • clusters built from three or more face
    adjacent tetrahedra
  • Isolated tetrahedra and pairs of tetrahedra
    (bipyramids) are omitted as they are found in the
    fcc and hcp crystalline structures.

15
Polytetrahedral Aggregates
  • In the general case polytetrahedra have the form
    of branching chains and five-member rings
    combining in various animals MOTIF?

16
Volume fraction of polytetrahedra
17
Comparison
  • Notice the difference between the 2 graphs

18
Quantify Order
  • This gives me a hint for quantifying order
  • I think, we should find the function for volume
    fraction of isolated tetrahedra and bipyramids
    against packing volume fraction, i.e. the
    difference between the 2 graph. We use L to
    denote it.
  • From pure observation, we notice that L is
    approximately a constant at low density, but
    after 0.646, L has a sudden increase

19
Quantify Order
  • We may use K to denote the volume fraction of
    spheres within polytetrahedral aggregates.
  • To quantify disorder, we use K/L.
  • Thus we use 1/(1K/L) to denote order

20
Quantify Order
  • But during the process, the value is
    chosen subjectively.

21
  • But from the left graph, we may expect that
    different choices of
  • may lead to the same MRJ result.
  • (This is only my naive expectation)

22
The Following Work May Be Done
  • Obtain the - graph from simulation under
    different choices of
  • Is the MRJ is independent of how we quantify
    order?
  • Is the limit independent of
  • Of course, the most important thing for me is to
    get into the problem

23
THANK YOU!
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