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Theoretical Tile Assembly Models Theoretical Tile Assembly Models

Theoretical Tile Assembly Models - PowerPoint Presentation

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Theoretical Tile Assembly Models - PPT Presentation

Tianqi Song Outline Wang tiling Abstract tile assembly model Reversible tile assembly model Kinetic tile assembly model Multiple temperature model qtile assembly model Flexible glue model ID: 810524

tile model glue assembly model tile assembly glue time temperature step proposed set terminal system complexity product strength process

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Slide1

Theoretical Tile Assembly Models

Tianqi

Song

Slide2

Outline

Wang tiling

Abstract tile assembly model

Reversible tile assembly model

Kinetic tile assembly model

Multiple temperature model

q-tile assembly model

Flexible glue model

Time-dependent glue model

Step-wise assembly model

Staged assembly

model

Slide3

Wang Tiling

Proposed by Hao Wang in 1961.

Given a finite set of square tiles with a glue on each side.

Question: whether they can tile the plane with same

abutting glue.

Note that tiles cannot be rotated or reflected and you can use infinite number of copies of each tile.

Slide4

Example of Wang Tiling

This tile set contain 13 tiles. They can tile the plane aperiodically as shown in next page.

Designed

by Karel Culik II in 1996. Picture is from

Wikipedia

.

Slide5

Example of Wang Tiling

This picture is from Wikipedia.

Slide6

Abstract Tile Assembly Model

Proposed by Erik Winfree and Paul W.K. Rothemund in 2000.

A tiling system under aTAM is a quadruple <T, s,

τ

, g>.

T is a set of tiles. A tile is a square with a glue on each side.

E

W

S

N

Slide7

Abstract Tile Assembly Model

s is seed tile. The initial configuration has only seed tile.

τ

is temperature: the minimum accumulative strength that can fix a tile in a configuration.

g is glue strength function: G×G->N

+

,

where G is glue set. For any x, y in G, g(x, y)=g(y, x). A configuration is a function: Z×Z->

T

U

{

empty}, where Z

is the set of integers.

Slide8

Tile Complexity

Tile complexity or program-size complexity: the minimum number of tile types required to assemble a shape.[

Erik Winfree and Paul W.K. Rothemund

STOC 2000]

A special case: in the linear version proposed by Chandran et al, the tile set is MULTISET.

Slide9

Time Complexity

Time complexity or running time: model the assembly process by continuous Markov process.[Adleman et al STOC 2001]

Example of continuous Markov process. Picture is from Wikipedia

Slide10

Time Complexity

States

: possible configurations.

Rate between state S1 and S2: if S2 is got by attaching a tile x to S1. The rate is the concentration of tile x. Otherwise, no edge between S1 and S2

.

The time from initial configuration to the terminal configuration is a random variable. Time complexity is the expected value of the random variable

Slide11

Reversible Tile Assembly Model

Proposed by Leonard M. Adleman in 1999 to study linear assembly.

Define two functions:

(

1) σ: G×G->[0,1]

(

2) v:

G×G->[0,1] where G is the glue set.

σ

(g1,g2) is the probability of sticking between glue g1 and g2.

v(g1,g2) is the probability of unsticking between glue g1 and g2.

Slide12

Kinetic Tile Assembly Model

Proposed by Erik Winfree in 1988.

Four assumptions:

(1) All monomers hold the same constant

concentration.

(2)There are not interactions among

aggregates.

Slide13

Kinetic Tile Assembly Model

Four assumptions(continue):

(3) All monomers have the same forward rate

constant.

(4) The reverse rate depends exponentially

on the number of pairs need to be broken.

Slide14

Kinetic Tile Assembly Model

Picture is from paper written by Erik Winfree in 1998

Slide15

Kinetic Tile Assembly Model

r

f

=

k

f

[monomer]=k

fe-Gmcrr,b=k

r,b

=k

f

e

-bG

se

k

f is the forward rate constant. [monomer] is the concentration of some kind of monomer. Gmc is a measure of entropic cost of fixing a monomer at a particular position. It is decided by the concentration of monomer.

Slide16

Kinetic Tile Assembly Model

G

se

is a measure of free energy cost to break a double helix of length s, where

G

se= (4000K/T-11)s.b is the number of s-length double helix that need to be broken.

Slide17

Multiple Temperature Model

Proposed by Aggarwal et al. in 2004.

Replace temperature t in the standard model by a sequence of temperatures {τ

i

}

i=1

.

A system that has k temperatures is a k-temperature system.Assembly mechanism: the assembly process of a k-temperature system has k phases as shown in the Figure(next page).

k

Slide18

Multiple Temperature Model

Assemble and disassemble under temperature τ

1

for long enough time.

Assemble and disassemble under temperature

τ

k

for long enough time.

Phase 1

Phase k

The terminal product of phase k is the terminal product of this k-temperature system.

Slide19

Flexible Glue Model

Proposed by

by Aggarwal et

al.

in 2004.

In standard model: g(x, y)= 0 if x≠y.

In flexible glue model: g(x, y) may not be 0 when x≠y.

Slide20

q-Tile Model

Proposed by by Aggarwal et

al.

in 2004.

In standard model: only single tile can attach to the growing supertile containing seed.

In q-tile model: supertiles of size not larger than q can form and attach to the seed supertile if the accumulative glue strength between two supertiles is not less than temperature.

Standard model is exactly 1-tile model.

Slide21

Time-dependent Glue Model

Proposed by

Sahu

et al. in 2005.

The glue strength function g is defined differently from standard model:

g: G×G×R -> R. g(x, y, t) is the glue strength

between glue x and glue y when they have

been juxtaposed for t time.

Slide22

Time-dependent Glue Model

Picture is from the paper by

Sahu

et al. in 2005

Slide23

Time-dependent Glue Model

As shown in the figure, define r: G×G-> R as

time for maximum glue strength

. g(x, y, t) is growing when t< r(x, y). When t≥ r(x, y), g(x, y, t)= g(x, y, r(x, y)).

D

efine u: G×G-> R as

minimum interaction time

between two glues.

Slide24

Time-dependent Glue Model

An example from

Sahu’s

paper:

Slide25

Step-wise Assembly Model

Proposed by Reif in 1999.

A tiling system under step-wise assembly model is a quadruple S

step

= <{T

i

}

i=1, s, g, {τi}i

=1

>, where k is the number of steps, T

i

is the tile set at step

i

, is

τ

i is the temperature at step i.The assembly process is shown in the Figure(next page).

k

k

Slide26

Step-wise Assembly Model

Put in T

1

including s. Assemble under temperature τ

1

for long enough time.

Put in

T

k

in.

Assemble under temperature

τ

k

for long enough time.

step 1 (in tube 1)

step k (in tube k)

terminal product of step 1

terminal product of step k-1

The terminal product of

step

k is the terminal product of this k

-step

system.

Slide27

Staged Assembly Model

Proposed by Demaine et al. in 2007.

It is a generalized version of step-wise assembly model.

The assembly process under staged assembly model is shown in the Figure(next page).

Slide28

Staged Assembly Model

This picture is from paper by Demaine et al. Vertices of mix graph represent bins for separated assembly reactions. Each bin has its only tile set and temperature. Only terminal product of one bin is delivered to bins in next stage.