Nanocones A classification result in chemistry Gunnar Brinkmann - - PowerPoint PPT Presentation

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Nanocones A classification result in chemistry Gunnar Brinkmann - - PowerPoint PPT Presentation

Classification Construction and results Nanocones A classification result in chemistry Gunnar Brinkmann Nico Van Cleemput Combinatorial Algorithms and Algorithmic Graph Theory Department of Applied Mathematics and Computer Science Ghent


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SLIDE 1

Classification Construction and results

Nanocones

A classification result in chemistry Gunnar Brinkmann Nico Van Cleemput

Combinatorial Algorithms and Algorithmic Graph Theory Department of Applied Mathematics and Computer Science Ghent University

Brinkmann, Van Cleemput Nanocones

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SLIDE 2

Classification Construction and results

Carbon networks

graphite nanocone nanotube

all structures infinite Brinkmann, Van Cleemput Nanocones

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SLIDE 3

Classification Construction and results

Equivalent structures

Definition Two infinite structures are called equivalent iff a finite part in both of them can be removed so that the (infinite) remainders are isomorphic.

Brinkmann, Van Cleemput Nanocones

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SLIDE 4

Classification Construction and results

Classification

graphite (0 pentagons) unique structure – so 1 class only cone with 1 pentagon unique structure – so 1 class only nanotubes (6 pentagons) infinitely many structures and infinitely many equivalence classes a finite number of tubes in each class

Brinkmann, Van Cleemput Nanocones

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SLIDE 5

Classification Construction and results

Classification

graphite (0 pentagons) unique structure – so 1 class only cone with 1 pentagon unique structure – so 1 class only nanotubes (6 pentagons) infinitely many structures and infinitely many equivalence classes a finite number of tubes in each class

Brinkmann, Van Cleemput Nanocones

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SLIDE 6

Classification Construction and results

Classification

graphite (0 pentagons) unique structure – so 1 class only cone with 1 pentagon unique structure – so 1 class only nanotubes (6 pentagons) infinitely many structures and infinitely many equivalence classes a finite number of tubes in each class

Brinkmann, Van Cleemput Nanocones

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SLIDE 7

Classification Construction and results

Classification of cones

2 to 4 pentagons infinitely many structures – 2 classes 5 pentagons infinitely many structures – 1 class First: D.J. Klein (2002) independently C. Justus (2007) Also some parts of what follows!

Brinkmann, Van Cleemput Nanocones

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SLIDE 8

Classification Construction and results

Classification of cones

2 to 4 pentagons infinitely many structures – 2 classes 5 pentagons infinitely many structures – 1 class First: D.J. Klein (2002) independently C. Justus (2007) Also some parts of what follows!

Brinkmann, Van Cleemput Nanocones

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SLIDE 9

Classification Construction and results

Classification of cones

2 to 4 pentagons infinitely many structures – 2 classes 5 pentagons infinitely many structures – 1 class First: D.J. Klein (2002) independently C. Justus (2007) Also some parts of what follows!

Brinkmann, Van Cleemput Nanocones

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SLIDE 10

Classification Construction and results

Each cone is equivalent to exactly one of the following cones (only caps shown)

Brinkmann, Van Cleemput Nanocones

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SLIDE 11

Classification Construction and results

Why still another and independent proof? in fact the basic very general classification result is already from 1997 (Ludwig Balke) very easy (using Balke’s result) very easy also for other structures – you could e.g. immediately work out the classes for square-cones or even cones of more complicated periodic structures

Brinkmann, Van Cleemput Nanocones

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SLIDE 12

Classification Construction and results

Why still another and independent proof? in fact the basic very general classification result is already from 1997 (Ludwig Balke) very easy (using Balke’s result) very easy also for other structures – you could e.g. immediately work out the classes for square-cones or even cones of more complicated periodic structures

Brinkmann, Van Cleemput Nanocones

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SLIDE 13

Classification Construction and results

Why still another and independent proof? in fact the basic very general classification result is already from 1997 (Ludwig Balke) very easy (using Balke’s result) very easy also for other structures – you could e.g. immediately work out the classes for square-cones or even cones of more complicated periodic structures

Brinkmann, Van Cleemput Nanocones

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SLIDE 14

Classification Construction and results

Why still another and independent proof? in fact the basic very general classification result is already from 1997 (Ludwig Balke) very easy (using Balke’s result) very easy also for other structures – you could e.g. immediately work out the classes for square-cones or even cones of more complicated periodic structures

Brinkmann, Van Cleemput Nanocones

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SLIDE 15

Classification Construction and results

Theorem (L. Balke (1997) rephrased for these circumstances) A disordered periodic tiling is up to equivalence characterized by the periodic tiling T that is disordered (the hexagonal lattice in this case) a winding number (can be neglected here) a conjugacy class of an automorphism in the symmetry group of T

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Take any closed path around the disorder. Here: llrrrlrrlrrrr. Follow the same path llrrrlrrlrrrr in the lattice A counterclockwise rotation by 60 degrees.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Take any closed path around the disorder. Here: llrrrlrrlrrrr. Follow the same path llrrrlrrlrrrr in the lattice A counterclockwise rotation by 60 degrees.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

The path around two pentagons corresponds to the product

  • f two paths – the rotation corresponds to the product of two

rotations by 60 degrees.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

This allows to determine possible equivalence classes. Example: 3 pentagons There are two such conjugacy classes in the symmetry group: rotation around the center of an edge rotation around the center of a face. So two candidate classes.

Brinkmann, Van Cleemput Nanocones

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SLIDE 20

Classification Construction and results

This allows to determine possible equivalence classes. Example: 3 pentagons

60 60

=

60 180

x x

There are two such conjugacy classes in the symmetry group: rotation around the center of an edge rotation around the center of a face. So two candidate classes.

Brinkmann, Van Cleemput Nanocones

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SLIDE 21

Classification Construction and results

Both classes exist for 3 pentagons

rrlrrlrrl rrlrlrrlrrlrl

Balke: proof of existence for general disorders – not necessarily of the form needed here.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Both classes exist for 3 pentagons

rrlrrlrrl rrlrlrrlrrlrl

Balke: proof of existence for general disorders – not necessarily of the form needed here.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Each cone is equivalent to exactly one of the following cones (only caps shown)

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Further classification

In the equivalence classes for nanotubes the region with the pentagons is bounded – the parameters of the class allow to compute upper bounds for this disordered region! Aim Take the localization of the defects also into account for cones. Classify by innermost paths of a certain form.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Further classification

In the equivalence classes for nanotubes the region with the pentagons is bounded – the parameters of the class allow to compute upper bounds for this disordered region! Aim Take the localization of the defects also into account for cones. Classify by innermost paths of a certain form.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Definitions

“symmetric” conepath

3 3 3 3

((lr)3r)6−p = ((lr)3r)4 “nearsymmetric” conepath ((lr)3r)6−p−1((lr)2r) = ((lr)3r)3((lr)2r

Note: always 6 − p edges with two times right

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Definitions

“symmetric” conepath

3 3 3 3

((lr)3r)6−p = ((lr)3r)4 “nearsymmetric” conepath

3 3 2 3

((lr)3r)6−p−1((lr)2r) = ((lr)3r)3((lr)2r

Note: always 6 − p edges with two times right

Brinkmann, Van Cleemput Nanocones

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SLIDE 28

Classification Construction and results

Definitions

Assume 2 ≤ p ≤ 5 fixed. Definition A closed path of the form ((lr)mr)6−p (for some m) is called a symmetric path (for p and m). Definition A closed path of the form ((lr)mr)6−p−1((lr)m−1r) (for some m) is called a nearsymmetric path (for p and m).

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Definitions

Assume 2 ≤ p ≤ 5 fixed. Definition A closed path of the form ((lr)mr)6−p (for some m) is called a symmetric path (for p and m). Definition A closed path of the form ((lr)mr)6−p−1((lr)m−1r) (for some m) is called a nearsymmetric path (for p and m).

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Definitions

Definition A closed path in a cone is called a conepath if it is symmetric or nearsymmetric, shares an edge with a pentagon and has only hexagons in its exterior.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Finer classification of cones

Theorem In every cone there is a unique cone path. unless p = 2 and there is an nearsymmetric conepath. In this case there are exactly two isomorphic conepaths with isomorphic interior.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Finer classification of cones

Theorem So there is a 1-1 correspondence between caps (interiors of cone paths) and cones. Note The corresponding result does not hold for nanotubes.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Finer classification of cones

Theorem So there is a 1-1 correspondence between caps (interiors of cone paths) and cones. Note The corresponding result does not hold for nanotubes.

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Sketch of the existence proof

Each cone is equivalent to exactly one of the following cones (only caps shown)

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Sketch of the uniqueness proof

cone a =2 a =2

3

a =4

2

a =4

1 Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Sketch of the uniqueness proof

cone a =2 a =2

3

a =4

2

a =4

1

graphite lattice

a e

1 2

f(e,a ,a ,a ,a )

3

a a

1 2 3

a

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Sketch of the uniqueness proof

Method if two conepaths exist, they are of the same type and share and edge e following the two paths in the lattice from the same starting edge gives the same endedge – so f(e, a0, . . . , ak) = f(e, a′

0, . . . , a′ k)

solve the equations for the different possible variables ai

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Sketch of the uniqueness proof

Method if two conepaths exist, they are of the same type and share and edge e following the two paths in the lattice from the same starting edge gives the same endedge – so f(e, a0, . . . , ak) = f(e, a′

0, . . . , a′ k)

solve the equations for the different possible variables ai

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Sketch of the uniqueness proof

Method if two conepaths exist, they are of the same type and share and edge e following the two paths in the lattice from the same starting edge gives the same endedge – so f(e, a0, . . . , ak) = f(e, a′

0, . . . , a′ k)

solve the equations for the different possible variables ai

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Construction of cone caps

Easy: conecaps are pseudo- convex and therefore have an inner spiral But: lots of optimizations to increase efficiency

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Construction of cone caps

Easy: conecaps are pseudo- convex and therefore have an inner spiral But: lots of optimizations to increase efficiency

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Construction of cone caps with two pentagons

All possible positions of the pentagons can be computed directly! Idea knowing the center of the rotation given by the boundary, one pentagon determines the position of the other

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Construction of cone caps with two pentagons

All possible positions of the pentagons can be computed directly! Idea knowing the center of the rotation given by the boundary, one pentagon determines the position of the other

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Some results

Example: 3 pentagons, symmetric conepath sidelength number cones min atoms max atoms 5 18 58 82 10 124 163 261 15 387 318 542 20 915 523 921 25 1.757 778 1.402 30 3.039 1.083 1.981 35 4.793 1.438 2.662 40 7.164 1.843 3.441 45 10.162 2.298 4.322 50 13.955 2.803 5.301

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons

General pseudoconvex patches Bornhöft, Brinkmann, Greinus (2003) Extremal case is spiral that starts with all pentagons and then hexagons

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons

General pseudoconvex patches Upperbounds by Bornhöft, Brinkmann, Greinus (2003) p = 1 ⇒ h ≤ b2 − 25 40 p = 2 ⇒ h ≤ b2 − 64 32 p = 3 ⇒ h ≤ b2 − 81 24 p = 4 ⇒ h ≤ b2 − 100 16 p = 5 ⇒ h ≤ b2 − 113 8

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

Pentagon in boundary! ⇒ maximal spiral not possible Idea insert vertex into boundary edge of a pentagon boundary length increases by one number of faces equal upperbound on number of hexagons is one more than upperbound of original patch

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

Pentagon in boundary! ⇒ maximal spiral not possible Idea insert vertex into boundary edge of a pentagon boundary length increases by one number of faces equal upperbound on number of hexagons is one more than upperbound of original patch

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

Pentagon in boundary! ⇒ maximal spiral not possible Idea insert vertex into boundary edge of a pentagon boundary length increases by one number of faces equal upperbound on number of hexagons is one more than upperbound of original patch

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

Pentagon in boundary! ⇒ maximal spiral not possible Idea insert vertex into boundary edge of a pentagon boundary length increases by one number of faces equal upperbound on number of hexagons is one more than upperbound of original patch

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

Pentagon in boundary! ⇒ maximal spiral not possible Idea insert vertex into boundary edge of a pentagon boundary length increases by one number of faces equal upperbound on number of hexagons is one more than upperbound of original patch

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

symmetric p = 2 ⇒ h ≤ 8m2 + 10m − 5 5 p = 3 ⇒ h ≤ 9m2 + 12m − 44 16 p = 4 ⇒ h ≤ 2m2 + 3m − 12 3 p = 5 ⇒ h ≤ m2 + 2m − 28 4 nearsymmetric p = 2 ⇒ h ≤ 8m2 + 22m + 7 5 p = 3 ⇒ h ≤ 9m2 + 24m − 32 16 p = 4 ⇒ h ≤ 2m2 + 5m − 10 3

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

5 pentagons h ≤ m2 + 2m − 28 4

  • is sharp

m odd m even

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

Number of hexagons in cone patches

2 pentagons h ≤ 8m2 + 10m − 5 5

  • (symmetric case) and

h ≤ 8m2 + 22m + 7 5

  • (nearsymmetric case) are not sharp

h ≤ 5m2 + 8m − 4 4

  • (symmetric case) and

h ≤ 5m2 + 16m + 4 4

  • (nearsymmetric case) are sharp

Brinkmann, Van Cleemput Nanocones

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Classification Construction and results

CaGe

The program can be used inside the environment CaGe: http://caagt.ugent.be/CaGe

Brinkmann, Van Cleemput Nanocones