1 The Potts model Mike Sinclair. 2 Overview Potts model –Extension of Ising model –Uses interacting spins on a lattice –N-dimensional (spin states > 2)

Slides:



Advertisements
Similar presentations
Moving Cellular Materials
Advertisements

1 X 2  : NO C 2  : z z  = 3/2  = 1/2 Spin-orbit interaction Orbit-rot. interaction z  = 3/2  = 1/2 Spin-orbit interaction Orbit-rot. interaction.
SPIN
PowerPoint Learning Quest Biology 9 Unit 5: Cell Biology (Part 2) Created by: Jeff Wolf and Mike Graff.
Jonathan R. Potts, Luca Giuggioli, Steve Harris, Bristol Centre for Complexity Sciences & School of Biological Sciences, University of Bristol. 20 September.
Biology as a Science.
Sonification in Theoretical Physics Katharina Vogt Prof. W. Plessas Prof. R. Höldrich Todtmoos, 12th september 2007.
Spin correlated dynamics on Bethe lattice Alexander Burin.
The Potts and Ising Models of Statistical Mechanics.
10/27/051 From Potts to Tutte and back again... A graph theoretical view of statistical mechanics Jo Ellis-Monaghan
1 Patti Bodkin Saint Michael’s College Colchester, VT
Telerobotics on the Internet James Mellington. Overview Telerobotics Project Goals Basic System Components The Original System Extension of the System.
Modeling Chemotaxis, Cell Adhesion and Cell Sorting. Examples with Dictyostelium Eirikur Pálsson Dept of Biology, Simon Fraser University.
1 Monte Carlo methods Mike Sinclair. 2 Overview Monte Carlo –Based on roulette wheel probabilities –Used to describe large-scale interactions in biology.
Monte Carlo Simulation of Ising Model and Phase Transition Studies By Gelman Evgenii.
Absorbing Phase Transitions
CompuCell Software Current capabilities and Research Plan Rajiv Chaturvedi Jesús A. Izaguirre With Patrick M. Virtue.
Free energies and phase transitions. Condition for phase coexistence in a one-component system:
Lecture 11: Ising model Outline: equilibrium theory d = 1
The Chemistry of Life Ch
Chemical Thermodynamics The chemistry that deals with the energy and entropy changes and the spontaneity of a chemical process.
Notes on Modeling with Discrete Particle Systems Audi Byrne July 28 th, 2004 Kenworthy Lab Meeting Deutsch et al.
Cellular Respiration Unit 5-2 Notes Mr. Hefti – Pulaski Biology.
THE NATURE OF SOLIDS by Mike, Marc & Alex. A Model for Solids - Atoms, Ions or molecules are packed tightly together - dense and not easy to compress.
CompuCell3D: A Morphogenesis simulation package
For a new configuration of the same volume V and number of molecules N, displace a randomly selected atom to a point chosen with uniform probability inside.
Introduction to Lattice Simulations. Cellular Automata What are Cellular Automata or CA? A cellular automata is a discrete model used to study a range.
Cellular Automata Martijn van den Heuvel Models of Computation June 21st, 2011.
George F Luger ARTIFICIAL INTELLIGENCE 5th edition Structures and Strategies for Complex Problem Solving Machine Learning: Social and Emergent Luger: Artificial.
Two Temperature Non-equilibrium Ising Model in 1D Nick Borchers.
8. Selected Applications. Applications of Monte Carlo Method Structural and thermodynamic properties of matter [gas, liquid, solid, polymers, (bio)-macro-
Sketch Outline Ising, bio-LGCA and bio-Potts models Potts model general description computational description Examples of ‘energies’ (specifying interactions)
自旋玻璃与消息传递算法 Spin Glass and Message-Passing Algorithms 周海军 中国科学院理论物理研究所.
By Kristanna Williams.  Octet rule, in most chemical reactions, atoms tend to match the s and p electron configuration of the noble gasses which is the.
Photosynthesis & Cellular Respiration Biology: 2010.
Big Ideas in Biology Unit 1. What are the Big Ideas? They are unifying concepts found in all science – biology, chemistry, earth science, physics These.
2/20/2014PHY 770 Spring Lecture 121 PHY Statistical Mechanics 12:00-1:45 PM TR Olin 107 Instructor: Natalie Holzwarth (Olin 300) Course.
13. Extended Ensemble Methods. Slow Dynamics at First- Order Phase Transition At first-order phase transition, the longest time scale is controlled by.
Cellular Automata Martijn van den Heuvel Models of Computation June 21st, 2011.
1 Unusual magnetic ordering due to random impurities and frustration Tim Saunders Supervisor: John Chalker.
Monte Carlo in different ensembles Chapter 5
Javier Junquera Importance sampling Monte Carlo. Cambridge University Press, Cambridge, 2002 ISBN Bibliography.
Photosynthesis and Productivity Chapter 10 Photosynthesis Plant Structure Chapters Big Idea: #2 Cellular Processes, #4 Interactions.
X-Ray Diffraction Spring 2011.
MA354 Math Modeling Introduction. Outline A. Three Course Objectives 1. Model literacy: understanding a typical model description 2. Model Analysis 3.
2/26/2014PHY 770 Spring Lecture 131 PHY Statistical Mechanics 12:00 * -1:45 PM TR Olin 107 Instructor: Natalie Holzwarth (Olin 300) Course.
PIDX PIDX - a parallel API to capture the data models used by HPC application and write it out in an IDX format. PIDX enables simulations to write out.
Characteristics of Living Things. History of Life.
Effects of Arrays arrangements in nano-patterned thin film media
Monte Carlo Simulation of Canonical Distribution The idea is to generate states i,j,… by a stochastic process such that the probability  (i) of state.
Computational Physics (Lecture 10) PHY4370. Simulation Details To simulate Ising models First step is to choose a lattice. For example, we can us SC,
Pattern Formation via BLAG Mike Parks & Saad Khairallah.
Intro Author: Martin Beckerman Senior Scientist at the Department of Energy/National Nuclear Security Administration’s Y-12 National Security Complex in.
Monte Carlo Simulation of the Ising Model Consider a system of N classical spins which can be either up or down. The total.
Computational Physics (Lecture 10)
ReMoDy Reactive Molecular Dynamics for Surface Chemistry Simulations
EXHIBIT 11.1 An Overview of Aggregate Demand And Supply
A first-principles-based theoretical study
Physics-based simulation for visual computing applications
Aditya Shetty *with applied heuristics
Chemical Reactions.
QM2 Concept test 8.1 We have three non-interacting particles in a one-dimensional infinite square well. The energy of the three particle system is
Reaction & Diffusion system
Metropolis-type evolution rules for surface growth models
Boltzmann Machine (BM) (§6.4)
Chemistry of Life 2.4 Chemical Reactions.
Cellular Respiration Take Home Quiz
The fuel of all Ecosystems is…
QM2 Concept test 8.1 We have three non-interacting particles in a one-dimensional infinite square well. The energy of the three particle system is
Real time quantum dynamics in systems with many degrees of freedom ACS PRF Grant # AC6 PI: Eli Pollak, Chemical Physics Dept. Weizmann Institute.
Presentation transcript:

1 The Potts model Mike Sinclair

2 Overview Potts model –Extension of Ising model –Uses interacting spins on a lattice –N-dimensional (spin states > 2) –Used for studying phase changes or transition states in chemistry and physics; used for studying cell aggregation and limb morphogenesis in biology

3 Set up of the problem Each spin state at intersection of lattice Random probability of initial position Time-step Expectation: like spin states “aggregate” together

4 More complex example This is a q = 5 spin state After several cycles, some aggregation has taken place Expectation: like spin states “aggregate” together

5 Real world problem This is an example of using the Potts model A chemical pre- pattern is formulated in the simulation A random cellular system is established and allowed to run over n time-steps

6 Real world problem Energy configurations yield limb morphogenesis The aggregation follows the chemical pre-pattern Equilibrium is established and model stops

7 Comments Initial conditions have random positions of spin states Pre-patterns formulate energy interactions of each particle Equilibrium reached after n time-steps and aggregation is achieved

8 Conclusions The Potts model is used extensively in biology, chemistry, and physics. It is an extension of the Ising model using more than 2 spin states. It can be visualized by a modeling large numbers of particles. Used for studying cell aggregation and limb morphogenesis.