Invariant MD w/ Variable Cell Shape R. Wentzcovitch U. Minnesota Vlab Tutorial -Simulate solids at high PTs -Useful for structural optimizations -Useful.

Slides:



Advertisements
Similar presentations
Time averages and ensemble averages
Advertisements

Graeme Ackland March 2010 Molecular Dynamics "Everything is made of atoms." Molecular dynamics simulates the motions of atoms according to the forces between.
Simulazione di Biomolecole: metodi e applicazioni giorgio colombo
Statistical mechanics
Fundamental Concepts Crystalline: Repeating/periodic array of atoms; each atom bonds to nearest neighbor atoms. Crystalline structure: Results in a lattice.
1© Alejandro Strachan – Online simulations: Getting Started Online simulations via nanoHUB: Glass transition temperature of an amorphous polymer In this.
Molecular dynamics modeling of thermal and mechanical properties Alejandro Strachan School of Materials Engineering Purdue University
Molecular Dynamics at Constant Temperature and Pressure Section 6.7 in M.M.
Beams and Frames.
Basic Terminology • Constitutive Relation: Stress-strain relation
Thermoelastic properties of ferropericlase R. Wentzcovitch Dept. of Chemical Engineering and Materials Science, Minnesota Supercomputing Institute J. F.
Chapter 3 -1 ISSUES TO ADDRESS... How do atoms assemble into solid structures? How does the density of a material depend on its structure? When do material.
Expression of d-dpacing in lattice parameters
1 MAE 5130: VISCOUS FLOWS Lecture 3: Kinematic Properties August 24, 2010 Mechanical and Aerospace Engineering Department Florida Institute of Technology.
Computational Materials Science Network Grain Boundary Migration Mechanism:  Tilt Boundaries Hao Zhang, David J. Srolovitz Princeton Institute for the.
Dislocations and Strengthening
Joo Chul Yoon with Prof. Scott T. Dunham Electrical Engineering University of Washington Molecular Dynamics Simulations.
Elastic Properties of Solids Topics Discussed in Kittel, Ch
Philippe Ghosez Lattice dynamics Andrei Postnikov Javier Junquera.
VLab development team UNIVERSITY OF MINNESOTA Indiana University Florida State Louisiana State University Thermoelastic Properties within VLab.
The role of first principles calculations in geophysics
1 Samara State Aerospace University (SSAU) Modern methods of analysis of the dynamics and motion control of space tether systems Practical lessons Yuryi.
ChE 452 Lecture 24 Reactions As Collisions 1. According To Collision Theory 2 (Equation 7.10)
HYDRODYNAMIC MODES AND NONEQUILIBRIUM STEADY STATES Pierre GASPARD Brussels, Belgium J. R. Dorfman, College Park S. Tasaki, Tokyo T. Gilbert, Brussels.
Geometrically Nonlinear Finite Element Analysis of a Composite Reflector K.J. Lee, G.V. Clarke, S.W. Lee, and K. Segal FEMCI WORKSHOP May 17, 2001.
Javier Junquera Molecular dynamics in the microcanonical (NVE) ensemble: the Verlet algorithm.
Renata M. Wentzcovitch Dept. of Chemical Engineering and Materials Science, Minnesota Supercomputing Institute UNIVERSITY OF MINNESOTA Phase transitions.
Molecular Dynamics Simulation Solid-Liquid Phase Diagram of Argon ZCE 111 Computational Physics Semester Project by Gan Sik Hong (105513) Hwang Hsien Shiung.
Simulation of direct space charge in Booster by using MAD program Y.Alexahin, N.Kazarinov.
Phase Transitions in the Earth’s Mantle
Molecular dynamic simulation of thermodynamic and mechanical properties and behavior of materials when dynamic loading V.V. Dremov, A.V. Karavaev, F.A.
Basics of molecular dynamics. Equations of motion for MD simulations The classical MD simulations boil down to numerically integrating Newton’s equations.
Spin transition in ferrous iron in MgSiO 3 perovskite under pressure Koichiro Umemoto  Spin transition of Fe 2+ Displacement of low-spin Fe Change of.
1 CE 530 Molecular Simulation Lecture 6 David A. Kofke Department of Chemical Engineering SUNY Buffalo
Phase diagram calculation based on cluster expansion and Monte Carlo methods Wei LI 05/07/2007.
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
Electronic Band Structures electrons in solids: in a periodic potential due to the periodic arrays of atoms electronic band structure: electron states.
September Bound Computation for Adaptive Systems V&V Giampiero Campa September 2008 West Virginia University.
First Principles Calculations in Mineral Physics Overview of methods Amorphization of quartz under pressure Structural transitions in ruby and the ruby.
Solution of a Partial Differential Equations using the Method of Lines
LAMMPS Users’ Workshop
9/24/2014PHY 711 Fall Lecture 131 PHY 711 Classical Mechanics and Mathematical Methods 10-10:50 AM MWF Olin 103 Plan for Lecture 13: Finish reading.
STRUCTURE OF SOLID MATERIALS CLASSIFICATION OF SOLIDS SOLIDS CLASSIFIED AS CRYSTALLINE, AMORPHOUS OR A COMBINATION OF THE TWO. CRYSTALLINE - BUILT UP OF.
The International Conference On Metallurgical Coatings And Thin Films ICMCTF 2005 CMSELCMSEL Hanyang Univ. Co/CoAl/Co Trilayer Fabrication Using Spontaneous.
AB INITIO DERIVATION OF ENTROPY PRODUCTION Pierre GASPARD Brussels, Belgium J. R. Dorfman, College Park S. Tasaki, Tokyo T. Gilbert, Brussels MIXING &
ChE 452 Lecture 25 Non-linear Collisions 1. Background: Collision Theory Key equation Method Use molecular dynamics to simulate the collisions Integrate.
Preliminary CPMD Benchmarks On Ranger, Pople, and Abe TG AUS Materials Science Project Matt McKenzie LONI.
Quasiharmonic Thermodynamic Properties of Minerals Renata M. M. Wentzcovitch Department of Chemical Engineering and Materials Science Minnesota Supercomputer.
Molecular dynamics (2) Langevin dynamics NVT and NPT ensembles
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
Post-perovskite Transition in MgSiO3
LECTURE 3 M. I. Baskes Mississippi State University
By Verena Kain CERN BE-OP. In the next three lectures we will have a look at the different components of a synchrotron. Today: Controlling particle trajectories.
Molecular dynamics (3) Equations of motion for (semi) rigid molecules. Restrained MD.
Structural and Optical transitions in ruby Collaborators: W. Duan (U. of MN), G. Paiva (USP), & A. Fazzio (USP) Support: NSF, CNPq, and FAPESP Renata Wentzcovitch.
First Principles Thermoelasticity of Minerals: Insights into the Earth’s LM Seismic observations and the nature of the LM T and composition in the lower.
CHARACTERIZATION OF THE STRUCTURE OF SOLIDS
CSC227: Operating Systems
Fundamentals of Molecular Dynamics Simulations
Play movie  LINE DEFECTS Dislocations: • are line defects,
Computational Physics (Lecture 20)
Dislocations and Strengthening
Crystallography and Structure
Lecture 2.1 Crystalline Solids.
CIDER/ITP Short Course
Masoud Aryanpour & Varun Rai
Elastic Properties of Solids: A Brief Introduction
“Phonon” Dispersion Relations in Crystalline Materials
Phase Transitions in Biological Systems with Many Components
Grains in Metals.
Presentation transcript:

Invariant MD w/ Variable Cell Shape R. Wentzcovitch U. Minnesota Vlab Tutorial -Simulate solids at high PTs -Useful for structural optimizations -Useful for structural search (shake and bake) -Various fictitious Lagrangian formulations

Fictitious molecular dynamics H. C. Andersen (1978) (N,E,V) (N,H,P)

Variable Cell Shape MD i=vector index j=cart. index

Anderson’s Fictious MD (HPN ensemble) Anderson’s variable volume fixed shape constant pressure MD (Anderson, J. Chem. Phys 72,2384(1980)) The ensemble (trajectory) averages produce the HPN ensemble averages Cell volume

Fictious MD (continue…) Parrinello/Rahman variable cell shape MD (Parrinello and Rahman, J. Appl. Phys 52, 7182 (1981)) Applying Lagrange’s equation

- in PR-VCSMD is not uniquely definedK Latt The trajectory is not uniquely defined. It does not depend only on the initial conditions. a a aa equivalent

Solution: use strain ε instead of h as dynamical variable ε is strain Invariant dynamics I Wentzcovitch, PRB 44,2358 (1991)

Alternative form of L Inv -I in terms of h and s: with Final observation: In the limit of variable V-only Solution: with Eq. of motion given by Eq. 9 in PRB 44, 2358(1991)

a a 2a Fluctuations in the cell edges lengths of fcc X-tal of Ar initially placed away from V eq. Beeman integration algorithm dt= 10 fmt (1 a.u. = 2.5 x s (in Ry)) M i = 39 m p W= 35 m p in (a); W= m p /a o 3 in (b) R c = 10 a o Wentzcovitch, PRB 44,2358 (1991)

fcc bcc sc θ d d d bcc fcc sc fcc bcc Potential energy isosurfaces Basins of attraction if we use and in the MD Basins of attraction if we use and in the PR-MD Wentzcovitch, PRB 44,2358 (1991)

Typical Computational Experiment Damped dynamics (Wentzcovitch, 1991) P = 150 GPa (Wentzcovitch, Martins, and Price, PRL 1993)

hcp to bcc transition in Mg (Wentzcovitch, Phys Rev. B 50, (1994)) (0001) (110) Distortion of the (0001) plane of the hcp structure into the (110) plane of the bcc structure. Arrows indicate atomic displacements. Atoms at u=1/6 or 1/3 u=1/4

Enthalpy barrier separating the hcp from the bcc phases at P=35 GPa at T=0K. u=1/6 ↔ hcp u=1/4 ↔ bcc Ideal phase boundary (solid) and blurry cause by hysteresis (dashed). Phase transitions will be simulated at the points marked by dots and error bars (undertainties in P and T). Exp. P T = GPa at 300 K ~150 K

hcp to bcc transition Time evolution of the internal parameters u’s, and angles and lengths of simulation cell vectors. Simulation w/ 16 atoms only T = 700 K P = 72 GPa dt = 6 fts W=0.02 m at =24.3 m p Θ ab = o Θ ab = 60 o u=1/6 u=1/4 u=1/6 u=1/4

bcc to hcp transition Time evolution of the internal parameters u’s, and angles and lengths of simulation cell vectors. Simulation w/ 16 atoms only T = 500 K P = 12 GPa dt = 6 fts W=0.02 m at =24.3 m p u=1/6 u=1/4 Θ ab = o Θ ab = 60 o

MgSiO 3 Perovskite Most abundant constituent in the Earth’s lower mantle Orthorhombic distorted perovskite structure (Pbnm, Z=4) Its stability is important for understanding deep mantle (D” layer)

b c a Lattice system: Bace-centered orthorhombic Space group: Cmcm Formula unit [Z]: 4 (4) Lattice parameters[Å] a: 2.462(4.286) [120 GPa] b: (4.575) c: 6.108(6.286) Volume [120 GPa] [Å 3 ]: 121.1(123.3)( )…perovskite Pt Crystal structure of post-perovskite Tsuchiya, Tsuchiya, Umemoto, Wentzcovitch, EPSL, 2004

Ab initio exploration of post-perovskite phase in MgSiO 3 Perovskite SiO 3 layer SiO 3 Mg SiO 3 Mg SiO 3 MgSiO 3 - Reasonable polyhedra type and connectivity under ultra high pressure - SiO 4 chain

Post-perovskite c’ a’ b’ Structural relation between Pv and Post-pv Deformation of perovskite under shear strain ε 6 a b c Perovskite θ Tsuchiya, Tsuchiya, Umemoto, Wentzcovitch, EPSL, 2004

Conclusions -VCSMD is very useful for structural optimizations when the dynamics has the correct symmetry properties (invariant dynamics) - It is capable of simulating a phase transition when one knows how the transformation occurs - There is unavoidable hysteresis associated with the simulation, which makes the simulation often unfeasible -Alternative approaches for obtaining phase boundaries by computations will be discussed throughout the course

Practice (Go to and navigate to the tutorial web site… …to … software. You will use VCSMD today. Click and download program, Input, and instruction.)

Some Instructions for Lind24-Lab 1)OpenDX is a visualization software you may use. To enable access to OpenDX: module load soft/opendx module initadd soft/opendx The first line enables the software for the current session, the second for every future session. Every user will need to type those two lines, but once they do, the software will be permanently enabled for your individual accounts.To launch the software, type 'dx'. 2) xmgr is a basic plotting software available in Linux. To launch it type ‘xmgr'. 3) The command for compiling fortran a code is 'f77'. It's part of the GCC package built into Linux. 4) You can SSH to MSI machines. They are on a different network and use a different account, so you will need to incorporate that into the command. For example, if your username is 'user' and the computer is 'altix.msi.umn.edu', you would need to type ‘ssh 5) They machines called lind24-01.itlabs.umn.edu, lind24-02.itlabs.umn.edu, etc, all the way up to lind24-40.itlabs.umn.edu. Both OpenDX and Xmgr are graphical, so you'll need to enable X Forwarding for the SSH connection if you're logging in remotely. Usually this can be done by adding the '-XY' flag to your SSH command in Unix.

Run1 Test: md of Ar atom in fcc cell (title) nd (calc) s n (ic,iio) (alatt) (nsc) (avec) (cmass, press) 1 (ntype) 4 Ar (natom,nameat,atmass) (rat) (rcut) (ncell) (nstep,ntcheck,ntimes) (temp,ttol,dt) ~

Run2 Decrease step size by ½ and increase # of steps by 2

Run3 Test: md of Ar atom in fcc cell (title) nd (calc) s n (ic,iio) (alatt) (nsc) (avec) (cmass, press) 1 (ntype) 1 Ar (natom,nameat,atmass) (rat) (rcut) (ncell) (nstep,ntcheck,ntimes) (temp,ttol,dt) ~

Run4 Adjust cell mass to get same period of oscillation

Run5 Test: Optimization under pressure (fcc) (title) nm (calc) s n (ic,iio) (alatt) (nsc) (avec) (cmass, press) 1 (ntype) 4 Ar (natom,nameat,atmass) (rat) (rcut) (ncell) (nstep,ntcheck,ntimes) (temp,ttol,dt) ~

Run6 Test: Optimization under pressure (hcp) (title) nm (calc) s n (ic,iio) (alatt) (nsc) (avec) s (cmass, press) 1 (ntype) 2 Ar (natom,nameat,atmass) (rat) t t (rcut) (ncell) (nstep,ntcheck,ntimes) (temp,ttol,dt) ~

Run7 Test: MD of 32 atoms at 200K (title) md (calc) s n (ic,iio) (alatt) (nsc) (avec) (cmass, press) 1 (ntype) 4 Ar (natom,nameat,atmass) (rat) (rcut) (ncell) (nstep,ntcheck,ntimes) (temp,ttol,dt) ~

Run8 Test: MD of 32 atoms at 2000K (title) md (calc) s n (ic,iio) (alatt) (nsc) (avec) (cmass, press) 1 (ntype) 4 Ar (natom,nameat,atmass) (rat) (rcut) (ncell) (nstep,ntcheck,ntimes) (temp,ttol,dt) ~