Ising model in the zeroth approximation Done by Ghassan M. Masa’deh.

Slides:



Advertisements
Similar presentations
The Kinetic Theory of Gases
Advertisements

The microcanonical ensemble Finding the probability distribution We consider an isolated system in the sense that the energy is a constant of motion. We.
Basics of Phases and Phase Transformations W. Püschl University of Vienna.
Optimization in mean field random models Johan Wästlund Linköping University Sweden.
Fuzzy Expert System. Basic Notions 1.Fuzzy Sets 2.Fuzzy representation in computer 3.Linguistic variables and hedges 4.Operations of fuzzy sets 5.Fuzzy.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 8-1 Chapter 8 Confidence Interval Estimation Basic Business Statistics 10 th Edition.
Thermodynamics and Statistical Mechanics Spring 2006.
Topics in Magnetism II. Models of Ferromagnetism Anne Reilly Department of Physics College of William and Mary.
Lecture of : the Reynolds equations of turbulent motions JORDANIAN GERMAN WINTER ACCADMEY Prepared by: Eng. Mohammad Hamasha Jordan University of Science.
Chap.3 A Tour through Critical Phenomena Youjin Deng
Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 8-1 Statistics for Managers Using Microsoft® Excel 5th Edition.
Statistics for Managers Using Microsoft® Excel 7th Edition
Physics 114: Lecture 11 Error Analysis
The Ising Model of Ferromagnetism by Lukasz Koscielski Chem 444 Fall 2006.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 7-1 Chapter 7 Confidence Interval Estimation Statistics for Managers.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 7-1 Chapter 7 Confidence Interval Estimation Statistics for Managers.
ECE/ChE 4752: Microelectronics Processing Laboratory
Presentation in course Advanced Solid State Physics By Michael Heß
Materials Process Design and Control Laboratory ON THE DEVELOPMENT OF WEIGHTED MANY- BODY EXPANSIONS USING AB-INITIO CALCULATIONS FOR PREDICTING STABLE.
Physics Fluctuomatics (Tohoku University) 1 Physical Fluctuomatics 7th~10th Belief propagation Appendix Kazuyuki Tanaka Graduate School of Information.
The Laws of Thermodynamics
Constant-Volume Gas Thermometer
Magnetic property of dilute magnetic semiconductors Yoshida lab. Ikemoto Satoshi K.Sato et al, Phys, Rev.B
We must therefore not be discouraged by the difficulty of interpreting life by the ordinary laws of physics... We must also be prepared to find a new.
Two Temperature Non-equilibrium Ising Model in 1D Nick Borchers.
Principles of Equal a Priori Probability  All distributions of energy are equally probable  If E = 5 and N = 5 then                 
Plan Last lab will be handed out on 11/22. No more labs/home works after Thanksgiving. 11/29 lab session will be changed to lecture. In-class final (1hour):
Study of Pentacene clustering MAE 715 Project Report By: Krishna Iyengar.
Entropy and temperature Fundamental assumption : an isolated system (N, V and U and all external parameters constant) is equally likely to be in any of.
Introduction to Materials Science, Chapter 7, Dislocations and strengthening mechanisms University of Virginia, Dept. of Materials Science and Engineering.
Thermal Physics Introduction. From mechanics to thermal physics Many concepts in thermal physics are based on mechanical concepts. For example, temperature.
IVW2005, TIFR, India Jan.11(2005)1 Dingping Li School of Physics, Peking University, China Baruch Rosenstein, NCTS&NCTU, Hsinchu, Taiwan, Weizmann Institute&Bar.
Temperature and Heat. Definition of Temperature  Temperature is proportional to the kinetic energy of atoms and molecules.  For gases, we have translational.
Workshop on Optimization in Complex Networks, CNLS, LANL (19-22 June 2006) Application of replica method to scale-free networks: Spectral density and spin-glass.
Landau Theory Before we consider Landau’s expansion of the Helmholtz free Energy, F, in terms of an order parameter, let’s consider F derived from the.
Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 8-1 Statistics for Managers Using Microsoft® Excel 5th Edition.
Role of Theory Model and understand catalytic processes at the electronic/atomistic level. This involves proposing atomic structures, suggesting reaction.
Graduate School of Information Sciences, Tohoku University
From J.R. Waldram “The Theory of Thermodynamics”.
Materials Process Design and Control Laboratory ON THE DEVELOPMENT OF WEIGHTED MANY- BODY EXPANSIONS USING AB-INITIO CALCULATIONS FOR PREDICTING STABLE.
Some physical properties of disorder Blume-Emery-Griffiths model S.L. Yan, H.P Dong Department of Physics Suzhou University CCAST
Simple Rate Equations Consider a chemical reaction: There are two common trends for the time rate of change of the concentration, C A. first order reaction.
Network Science K. Borner A.Vespignani S. Wasserman.
Seismology Part II: Body Waves and Ray Theory. Some definitions: Body Waves: Waves that propagrate through the "body" of a medium (in 3 dimensions) WRONG!
Resistance Minimum in Dilute Magnetic Alloys Ref)Jun Kondo Resistance Minimum in Dilute Magnetic Alloys Prog. Theor. Phys.32(1964)37-49 Osaka Univ. Miyake.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 6 Introduction to convection.
Eutectic Phase Diagram NOTE: at a given overall composition (say: X), both the relative amounts.
Computational Physics (Lecture 10) PHY4370. Simulation Details To simulate Ising models First step is to choose a lattice. For example, we can us SC,
States that if the volume and temperature of a fixed amount of gas do not change, the pressure also remains constant. The Ideal Gas Law.
1 (c) SNU CSE Biointelligence Lab, Chap 3.8 – 3.10 Joon Shik Kim BI study group.
Introduction to Entropy. Entropy A formal attempt to quantify randomness by relating it to the amount of heat “wasted” by a thermodynamic process. The.
Chapter 7 Confidence Interval Estimation
Statistical-Mechanical Approach to Probabilistic Image Processing -- Loopy Belief Propagation and Advanced Mean-Field Method -- Kazuyuki Tanaka and Noriko.
LAWS OF THERMODYNAMICS
Thermal 3.
Sampling Distributions for a Proportion
Stationary Perturbation Theory And Its Applications
Thermal Physics Thermal Concepts.
Chapter 10 Magnetic Properties Introduction 10
Zeroth Law of Thermodynamics
Potential Energy and Conservation of Energy
Chapter 7 Kinetic Energy and Work
Chapter 7 Kinetic Energy and Work
Kinetic Energy and Work
Ferromagnetism.
Chapter 7 Kinetic Energy and Work
Lattice gas with interactions
Adaptive Cooperative Systems Chapter 3 Coperative Lattice Systems
Wiess field model of Paramagnetism. Wiess field model of paramagnetism In the ferromagnetic materials the magnetic moments (spins) are magnetized spontaneously.
Presentation transcript:

Ising model in the zeroth approximation Done by Ghassan M. Masa’deh

Introduction: In principle the Ising model is not a very good approximation for any temperature range. However it has the advantage of starting directly from the energy levels and skipping all the steps that lead to them from the Hamiltonian, in other methods.

This convenient short cut makes it possible to concentrate on the details of the statistical mechanics.

Therefore, the ising model is very widely used in a variety of other problems, more than in ferromagnetism for which it was originally developed.

The Ising model In 1928 Gorsky attempted a statistical study of order - disorder transitions in binary alloys on the basis of the assumption that the work expended in transferring an atom from an order position to a disordered one is directly proportional to the degree of order prevailing in the system

This idea was further developed by Bragg and Williams, who, for the first time introduced the concept of long range order

The basic assumption in the Bragg-Williams approximation is " the energy of an individual atom in the given system is determined by the average degree of order prevailing in the entire system rather than by the fluctuating configurations of the neighboring atoms.".

Define: along range parameter 'L' is given by : = N + - N-/N …….(1) -1<L<1 Where: σ i = +1 for an up spin = -1 for adown spin N + = total number of up spins N- = total number of down spins

Where N = N + + N- Substitute in (1) we get L = (2N+/N) -1 So, N + =N/2(1+L) And N-= N/2 (1-L)

The magnetization M is given by: M = (N + - N-)µ =µ NL ; -Nµ<M<Nµ For Ising model we can write the Hamiltonian by : H{σ i } = -J ∑σ I σ j - µB∑σ i ………………(2) Where : - µB is the potential energy -Jσ i σ j is the kinetic energy

H{σ i } = -J (1/2 q σ) ∑σ i - µB∑σ i ……………(3) We can find the total configurational energy of the system is given by E= -1/2 (qJL) NL –( µB) NL ……….(4) And = U = -1/2 qJNL - µBNL………..(5) 2

Define: ∆ ɛ is the difference between the over all configurational energy of an up spin and the over all configurational energy of down spin, the energy expended in changing any up spin into a down one is given by: ∆ ɛ = -J(qσ) ∆σ - µB∆σ ……………..(6) = 2µ (qJσ/(µ+B) ) ; ∆σ= -2……….(7)

The relative values of the equilibrium numbers N+ and N- then follow from the Boltzmann principle : N-/N + = exp (-∆ ɛ /KT) = exp (-2µ(B'+B)/KT) ………(8) Where B' the internal molecular field and given by : B' = qJM/Nµ 2

(1-L)/(1+L) = exp [-2 (qJL+B)/KT] ……..(11)  (qJL+B)/ KT =1/2 ln [(1+L)/(1-L)] = tanh L ………(12) L= tanh [(qJL+B)/KT ] ………………(13) Let B =0 => L 0 = tanh [(qJL 0 )/KT] ……..(14) This is called the possibility of spontaneous magnetization

We obtain a T c below which the system can acquire a non zero spontaneous magnetization and above which it can not. We can identify the T c with the Curi temperature. The temperature that marks a transition from the ferromagnetic to the paramagnetic behavior of the system or vice verse.

From equation (14):  L 0 (T) ≃ {3(1-T/Tc)} ;(T ≲ T c,B→0)…(15) At T→0 => L 0 → 1 L 0 (T) ≃ 1-2 exp(-2T c /T) ; (T/T c ≪ 1)….(16) 1/2

The configrational energy of the system is given by : U 0 (T) = -1/2 qJNL 0 ……………(17) And the specific heat is C 0 (T) = -qJNL 0 dL 0 /dT = (NKL 0 ) / [(T/Tc)/(1- L 0 ) - (T/Tc)]...(18) At T>T c => U 0 (T) = C 0 (T) = 0 `

The specific heat at the transition temperature Tc is : C 0 (T) = lim {(NK* 3x)/[[(1-x)/(1-3x)] – (1-x)]} = 3/2 NK ……(19) And at T→ 0 C 0 (T) ≃ 4NK (T c /T) exp(-2T c /T) (20) 2 2

Note that the vanishing of the configurational energy and the specific heat of the system at temperature above T c is directly related to the configurational order prevailing in the system at lower temperatures is completely wiped out as T→ T c. We note that all the microstate are equally likely to occur is related to the fact that for T ≥ T c there is no configurational order in the system

Define : X is the magnetic susceptibility of the system and given by : X(B,T) = (dM/dT) T = Nµ(dL/dB) T =(Nµ /K)[(1-L(B,T))/[T-T c {1-L(B,T)}]] For L ≪ 1 we obtain the Curi – weiss law X 0 (T) ≃ (Nµ /K)/ (T-T c ) (T ≳ T c,B→ 0 ) 222 2

For T <T c we get. X 0 (T) ≃ (Nµ /2K)/ (T c -T) (T ≲ T c, B→ 0 ) Experimentally the Curi – Weiss law is satisfied with considerable accuracy except that the empirical value of T c thus obtained is always some what larger than the true transition temperature of the material. 2

As T → 0 the law field susceptibility vanishes in accordance with the formula X 0 (T) ≃ (4 Nµ /KT) exp (-2T c /T) Finally, the relation ship between L and B at T=T c and use tanh x ≃ x + x /3 we have : L ≃ (3 µB/KT) (T =T c,B→ 0 ) 2 3 1/3

Thank you