Scalar Properties, Static Correlations and Order Parameters

Slides:



Advertisements
Similar presentations
Lattice Dynamics related to movement of atoms
Advertisements

Heat capacity at constant volume
Department of Electronics Introductory Nanotechnology ~ Basic Condensed Matter Physics ~ Atsufumi Hirohata.
Computational Solid State Physics 計算物性学特論 第2回 2.Interaction between atoms and the lattice properties of crystals.
MSEG 803 Equilibria in Material Systems 10: Heat Capacity of Materials Prof. Juejun (JJ) Hu
Structure of Amorphous Materials
Statistical Mechanics
Thermodynamics Chapter 19 Liquid benzene Production of quicklime Solid benzene ⇅ CaCO 3 (s) ⇌ CaO + CO 2.
Chapter 19 Chemical Thermodynamics
Thermal Properties of Crystal Lattices
May 2001D. Ceperley Simulation Methods1 Statistical Ensembles Classical phase space is 6N variables (p i, q i ) and a Hamiltonian function H(q,p,t). We.
Chapter 13: Temperature and Ideal Gas
1 Physical Chemistry III Molecular Simulations Piti Treesukol Chemistry Department Faculty of Liberal Arts and Science Kasetsart University :
1 Scalar Properties, Static Correlations and Order Parameters What do we get out of a simulation? Static properties: pressure, specific heat, etc. Density.
Introduction to Patterson Function and its Applications
Molecular Dynamics Simulation Solid-Liquid Phase Diagram of Argon ZCE 111 Computational Physics Semester Project by Gan Sik Hong (105513) Hwang Hsien Shiung.
Diffraction: Real Sample (From Chapter 5 of Textbook 2, Chapter 9 of reference 1,) Different sizes, strains, amorphous, ordering  Diffraction peaks.
Specific Heat of Solids Quantum Size Effect on the Specific Heat Electrical and Thermal Conductivities of Solids Thermoelectricity Classical Size Effect.
Temperature Introduction Section 0 Lecture 1 Slide 1 Lecture 22 Slide 1 INTRODUCTION TO Modern Physics PHYX 2710 Fall 2004 Physics of Technology—PHYS 1800.
Ionic Conductors: Characterisation of Defect Structure Lecture 15 Total scattering analysis Dr. I. Abrahams Queen Mary University of London Lectures co-financed.
8. Selected Applications. Applications of Monte Carlo Method Structural and thermodynamic properties of matter [gas, liquid, solid, polymers, (bio)-macro-
Electronic Band Structures electrons in solids: in a periodic potential due to the periodic arrays of atoms electronic band structure: electron states.
The eggbox effect: converging the mesh cutoff Objectives - study the convergence of the energy and the forces with respect to the real space grid.
Chapter 9: Molecular-dynamics Integrate equations of motion-- classical! Discrete form of Newton’s second law Forces from interaction potential For a simple.
Interacting Molecules in a Dense Fluid
Monatomic Crystals.
1 Statistical Mechanics and Multi- Scale Simulation Methods ChBE Prof. C. Heath Turner Lecture 20 Some materials adapted from Prof. Keith E. Gubbins:
Molecular dynamics (4) Treatment of long-range interactions Computing properties from simulation results.
Particle Transport Theory in Thermal Fluid Systems:
©D.D. Johnson and D. Ceperley MSE485/PHY466/CSE485 1 Scalar Properties, Static Correlations and Order Parameters What do we get out of a simulation?
--Experimental determinations of radial distribution functions --Potential of Mean Force 1.
Computational Physics (Lecture 18) PHY4061. Molecular dynamics simulations Most physical systems are collections of interacting objects. – a drop of water.
1 Calculation of Radial Distribution Function (g(r)) by Molecular Dynamic.
Lecture 9 Correction! (Shout out of thanks to Seok!) To get the wave equation for v when C 13 ≠ C 12, it is NOT OK to just do a cyclic permutation. That’s.
Phonons Packets of sound found present in the lattice as it vibrates … but the lattice vibration cannot be heard. Unlike static lattice model , which.
Phy107 Fall From Last Time… Today Superposition of wave functions Indistinguishability Electron spin: a new quantum effect The Hydrogen atom and.
MIT Microstructural Evolution in Materials 4: Heat capacity
Molecular Dynamics What to choose in an integrator
Ch.4 Atomic Structure of Solid Surfaces.
Dynamical correlations & transport coefficients
The units of g(): (energy)-1
DEVELOPMENT OF SEMI-EMPIRICAL ATOMISTIC POTENTIALS MS-MEAM
Content Heavy ion reactions started fragmenting nuclei in the 1980’s. Its study taught us that nuclear matter has liquid and gaseous phases, phase.
Computational Physics (Lecture 18)
4.6 Anharmonic Effects Any real crystal resists compression to a smaller volume than its equilibrium value more strongly than expansion due to a larger.
Chapter 19 Chemical Thermodynamics
Density, ρ, is the mass per unit volume of a material.
Chapter 19 Chemical Thermodynamics
Molecular Dynamics What to choose in an integrator
Lecture 08: A microscopic view
10.6. Cluster Expansion for a Quantum Mechanical System
Chapter 19 Chemical Thermodynamics
Dynamical correlations & transport coefficients
Recall the Equipartition Theorem: In Ch 6,
Chemical Structure and Stability
Chapter 19 Chemical Thermodynamics
PHY 752 Solid State Physics
Dynamical correlations & transport coefficients
Gas Laws AP Physics B.
Chapter 19 Chemical Thermodynamics
Chapter 19 Chemical Thermodynamics
Physics Revision- CHAPTER 3 – Particle model of matter
Chemistry: The Central Science
Molecular Dynamics What to choose in an integrator
PHY 752 Solid State Physics
Ideal gas: Statistical mechanics
States of Matter Changes What’s the Matter? You BETTER Know This! More
MATTER.
Physics 3: Particle Model of Matter
Presentation transcript:

Scalar Properties, Static Correlations and Order Parameters What do we get out of a simulation? Static properties: pressure, specific heat, etc. Density Pair correlations in real space and Fourier space. Order parameters and broken symmetry: How to tell a liquid from a solid Dynamical properties –next lecture 11/14/2018

Thermodynamic properties We can get averages over distributions Total (internal) energy = kinetic energy + potential energy Kinetic energy = kBT/2 per momentum (degree of freedom) Specific heat = mean squared fluctuation in energy Pressure can be computed from the virial theorem. Compressibility, bulk modulus, sound speed We have problems with entropy and free energy because they are not ratios with respect to the Boltzmann distribution. We will discuss this later. 11/14/2018

Thermodynamic Estimators 11/14/2018

Microscopic Density In Real-Space: Its Fourier transform: (r) = < i (r-r i) >  k = < i exp(ikri) > This is a good way to smooth the density. A solid has broken symmetry (order parameter): density is not constant. At a liquid-gas transition, the density is also inhomogeneous. In periodic boundary conditions. the k-vectors are on a grid: k=2/L (nx,ny,nz) Long wavelength modes are absent. In a solid, Lindemann’s ratio gives a rough idea of melting: u2= <(ri-zi)2>/d2 When deviations about lattice are greater than ~15%, the solid has melted. 11/14/2018

Order parameters Systems have symmetries: e.g. translation invariance. At high T, one expects the system to have those same symmetries at the microscopic scale (e.g., a gas). BUT, as the system cools, those symmetries can be broken (e.g., a gas condenses or freezes). The best way to monitor the transition is to look how the order parameter changes during the simulation. Examples: At a liquid gas-transition, density no longer fills the volume: droplets form. The density is the order parameter. At a liquid-solid transition, both rotational and translational symmetry are broken. 11/14/2018

11/14/2018

Electron Density during exchange 2d Wigner crystal (quantum) Contour levels are 0.0005,0.001,0.002,0.004,0.008 11/14/2018

Snapshots of densities Liquid or crystal or glass? Blue spots are defects 11/14/2018

Density Distribution of 4He+(HCN)x Droplets T=0.38 K, N=500 40 Å z r pure 1 HCN 3 HCN 11/14/2018

Pair Correlation Function: g(r) Radial distribution function: rdf Density-Density correlation function Primary quantity in a liquid is the probability distribution of pairs of particles. What is the density of atoms around a given atom? g(r) = < i<j  (r – [ri-rj]) > (2/N2) In practice, the delta-function is replaced by binning and making a histogram. From g(r) you can calculate all pair quantities (potential, pressure, …): A function gives more information than a number! 11/14/2018

g(r) Also need to normalize and output at the end of a block. ! Loop over all pairs of atoms. do i=2,natoms do j=1,i-1 !Compute distance between i and j. r2 = 0 do k=1,ndim dx(k) = r(k,i) - r(k,j) !Periodic boundary conditions. if(dx(k).gt. ell2(k)) dx(k) = dx(k)-ell(k) if(dx(k).lt.-ell2(k)) dx(k) = dx(k)+ell(k) r2 = r2 + dx(k)*dx(k) enddo Also need to normalize and output at the end of a block. All of this is the same. Do g(r) when F is calculated! How do we choose dr_inverse? !Only compute for pairs inside radial cutoff. if(r2.lt.rcut2) then index=sqrt(r2)*dr_inverse g(index)=g(index)+1 endif enddo New code 11/14/2018

Example: g(r) in liquid and solid helium Exclusion hole around the origin First peak is at inter-particle spacing. (shell around the particle) Only can go out to r < L/2 in periodic boundary conditions without bringing in images. Crystal shows up as shoulders 11/14/2018

Pair correlation in water SPC J. Chem. Phys. 124, 024503 (2006)  is angle between dipoles 11/14/2018

g(r) for fcc and bcc lattices 1st neighbor 2nd neighbor 3rd neighbor distances are arranged in increasing distances. What happens at finite T? What happens when potentials are not hard spheres? J. Haile, MD simulations 11/14/2018

11/14/2018

The (Static) Structure Factor S(k) The Fourier transform of g(r) is the static structure factor: S(k) = <|k|2>/N (1) S(k) = 1 +  dr exp(ikr) [g(r)-1] (2) Problems with (2): Need to extend g(r) to infinity Need to calculate at 3D g(r). Why is S(k) important? S(k) can: Be measured in neutron and X-ray scattering experiments. Provide a direct test of the assumed potential. Used to see the state of a system: liquid, solid, glass, gas? (much better than g(r) ) Order parameter in solid is G where G is a particular wavevector. 11/14/2018

Bragg peak S(K) is measured in x-ray and neutron scattering In a perfect lattice, S(k) is non-zero only at reciprocal lattice vectors G: S(G) = N. At non-zero temperature (or for quantum systems) this structure factor is reduced by the Debye-Waller factor S(G) = 1+ (N-1)exp(-G2u2/3) To tell a liquid from a crystal, see how S(G) scales as the system is enlarged. In a solid, S(k) will have peaks that scale with the number of atoms. The compressibility is given by: We can use this to detect a liquid-gas transition as the compressibility should diverge as k  0. (order parameter is density) 11/14/2018

Crystal liquid 11/14/2018

Here is a snapshot of a binary mixture Here is a snapshot of a binary mixture. What correlation function would be important to decide the order? 11/14/2018

Questions to ask yourself: What is the order parameter for a glass? How to distinguish from a liquid? Or from a crystal? 11/14/2018