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Implementation of Atomistic Simulation Techniques in Thermal Neutron Scattering Data Generation Ayman I. Hawari Nuclear Reactor Program Department of Nuclear Engineering North Carolina State University Raleigh, North Carolina, USA OECD/NEA Kick-off Meeting: WPEC SG42 “Thermal Scattering Kernel S(α,β): Measurement, Evaluation and Application” May 18 – 19, 2015 Paris, France

Transcript of Implementation of Atomistic Simulation Techniques in ... · PDF fileImplementation of ....

  • Implementation of

    Atomistic Simulation Techniques in Thermal Neutron Scattering

    Data Generation

    Ayman I. Hawari

    Nuclear Reactor Program Department of Nuclear Engineering

    North Carolina State University Raleigh, North Carolina, USA

    OECD/NEA Kick-off Meeting: WPEC SG42 Thermal Scattering Kernel S(,): Measurement, Evaluation and Application

    May 18 19, 2015 Paris, France

  • Acknowledgement The many graduate students and postdocs at

    North Carolina State University

  • Acknowledgement Collaboration with LLNL and Bettis labs Current funding by the NCSP and NR programs

    and past funding by DOE NE through NERI and NEUP programs

  • Motivation

  • 5

    Example

  • Vision Establish a predictive approach for generating the

    needed data (cross sections) to describe the energy exchange of thermal neutrons in matter

    Various applications:

    Nuclear criticality safety Nuclear reactor design Neutron beam spectral shaping (i.e., filtering) Neutron source (cold, ultracold, etc.) characterization

  • { })()( ,S,Skk

    41

    Eddd

    sincohcoh

    2 +

    =

    )()()( ,S,S,S ds

    +=

    is composed of two parts )( ,S The scattering law

    Using Born approximation, it can be shown that the double differential scattering cross section has the form

    Van Hoves formulation

    ( ) ( ) ( )1, ,2

    i r tS G r t e drdt

    =

    where G(r,t) is the dynamic pair correlation function and is expressible in terms of the atomic positions.

    Thermal Neutron Scattering

  • Correlation Functions Fourier transforms of correlation functions in space and

    time reveal the energy and momentum states available within the system

    radius []0 2 4 6 8 10

    Log[

    G(r

    )] [a

    rb.]

    time [fs]0 1000 2000 3000 4000 5000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    Frequency [THz]0.0 0.5 1.0 1.5 2.0 2.5

    DO

    S [a

    rb.]

    q-vector [-1]

    0.0 0.1 0.2 0.3 0.4 0.5 0.6

    I(k)

    [arb

    .]

    (1)

  • Methods Several approaches can be used to extract the

    fundamental information for calculating the scattering law and eventually the cross sections

    Empirical atomic force analysis combined with dynamical

    matrix calculations Basis of current ENDF/B libraries

    Ab initio Quantum (DFT) methods combined with dynamical

    matrix calculations Molecular Dynamics (ab initio MD or classical MD) methods

    combined with correlation function analysis

  • e.g., NJOY

    e.g., NJOY

    Lattice Dynamics

    Hellmann-Feynman Forces (HF)

    Ab Initio DFT

    ()

    One Phonon

    )(qj)(qe jd

    ),(1 dS),( sS

    Scattering Cross Section ( )

  • ( ),S ( ),sS

    Velocity autocorrelation

    MD Simulation

    Particle density autocorrelation

    Time Transform

    ( ){ }jR t

    ( )

    ( ){ }jv t

    Time Transform

    ( ),I t

    Build Atomistic Model

  • Materials Studied at NCSU Graphite, Beryllium (PHYSOR 2004 & 2008)

    Treatment of nuclear graphite (porous system) Including coherent inelastic for both materials

    Silicon dioxide (New, contributed to NNDC/ENDF, PHYSOR 2008) Support criticality safety analysis

    Silicon carbide (New, contributed to NNDC/ENDF) Support advanced fuel cycle applications (e.g., FCM fuels)

    Thorium hydride, uranium-zirconium hydride, calcium hydride

    (PHYSOR 2004)

    Sapphire and bismuth (PHYSOR 2006) Thermal neutron filters

    Solid methane (predictive analysis AccApp 2011) Cold neutron moderator Captured phase I to II transformation upon cooling below 22 K

    Lucite (C5O2H8) and polyethylene (C2H4) Of interest as moderators

  • Graphite

    Hexagonal Structure 4 atoms per unit cell a=b=2.46 c=6.7

    Ideal graphite consists of planes (sheets) of carbon atoms arranged in a hexagonal lattice. Covalent bonding exits between intraplaner atoms, while the interplaner bonding is of the weak Van der Waals type. The planes are stacked in an abab sequence.

  • Graphite 1

    T = 300 K

    Energy (eV)10-5 10-4 10-3 10-2 10-1 100

    Cro

    ss S

    ectio

    n (b

    )

    10-1

    100

    101

    102

    ENDF/B-VII data - calculated

  • T = 300 K

    Energy (eV)10-5 10-4 10-3 10-2 10-1 100

    Cro

    ss S

    ectio

    n (b

    )

    10-1

    100

    101

    102

    ENDF/B-VII data - calculatedIdeal graphite - measuredBNL-325 - measuredNCSU ideal graphite - measuredNCSU reactor-grade graphite - measured

    Graphite 2

  • - particle density autocorrelation ( ),S Scattering law is computed directly from the atomic positions as:

    ( ) ( ) ( )', '

    1, exp 0 expcl j jj j

    I t i R i R tN

    =

    ( ) ( ) ( )1, , exp2

    clS I t i t dt

    = where the positions are known at discrete time steps and the Fourier transforms are taken in discrete form.

    Detailed balance

    Response of scattering system to neutron interaction

  • Graphite Scattering Law

  • T = 300 K

    Energy (eV)10-5 10-4 10-3 10-2 10-1 100

    Cro

    ss S

    ectio

    n (b

    )

    10-1

    100

    101

    102

    ENDF/B-VII data - calculatedIdeal graphite - measuredBNL-325 - measuredNCSU ideal graphite - measuredNCSU reactor-grade graphite - measured

    Graphite 2

  • Graphite 3

    T = 300 K

    Energy (eV)10-5 10-4 10-3 10-2 10-1 100

    Cro

    ss S

    ectio

    n (b

    )

    10-1

    100

    101

    102

    Ideal graphite - calculatedENDF/B-VII data - calculatedIdeal graphite - measuredBNL-325 - measuredNCSU ideal graphite - measuredNCSU reactor-grade graphite - measured

  • Graphite Types

    Ideal Graphite

    Density = 2.25 g/cm3

    Nuclear Graphite

    Density = 1.5 1.8 g/cm3

  • MD Models

    8000 atoms 30% porosity NVT ensemble T = 300 K

  • MD Models

    Energy (eV)

    0.00 0.05 0.10 0.15 0.20 0.25

    DO

    S (1

    /eV

    )

    0

    10

    20

    3010% porous graphite30% poorous graphiteIdeal graphite

  • Graphite 3

    T = 300 K

    Energy (eV)10-5 10-4 10-3 10-2 10-1 100

    Cro

    ss S

    ectio

    n (b

    )

    10-1

    100

    101

    102

    Ideal graphite - calculatedENDF/B-VII data - calculatedIdeal graphite - measuredBNL-325 - measuredNCSU ideal graphite - measuredNCSU reactor-grade graphite - measured

  • Graphite 4

    T = 300 K

    Energy (eV)10-5 10-4 10-3 10-2 10-1 100

    Cro

    ss S

    ectio

    n (b

    )

    10-1

    100

    101

    102

    30% porous graphite - calculated10% porous graphite - calculatedIdeal graphite - calculatedENDF/B-VII data - calculatedIdeal graphite - measuredBNL-325 - measuredNCSU ideal graphite - measuredNCSU reactor-grade graphite - measured

  • AIMD Model of Be HCP (P63/mmc)

    a=2.2856 (2.27 AIMD) c=3.5832 (3.55 AIMD)

    VASP

    GGA-PAW 3x3x3 k-mesh 350eV Plane-wave cut-off

  • AIMD Model of Be VASP 5x5x5 super-cell (250 atoms) Temperature of 300K under NVE Equilibrated with velocity scaling (1.5ps) 10ps simulation with 1fs time steps

    Supercell: c-axis Supercell: a-axis

  • Verification of Model Behavior Atoms well-behaved No-Diffusion MSD Velocity Distribution

    Temperature Fluctuations Reasonable standard

    deviation Energy Fluctuations Relative fluctuation

    must be small

    time [fs]

    0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000

    Tem

    pera

    ture

    [K]

    220

    240

    260

    280

    300

    320

    340

    360

    time [fs]

    0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000

    Ener

    gy [e

    V/a

    tom

    ]-3.700

    -3.698

    -3.696

    -3.694

    -3.692

    -3.690

    -3.688

    -3.686

    -3.684

    -3.682

  • Computational Approach

    ),(SeEE

    Tk2dEdd 2

    Binelastic

    2

    =

    ( , ( ))1( , )2

    i t tS e e dt

    = Use NJOY/LEAPR

    =

    3

    () = (0) () =1(0) ()

    1

  • Velocity Auto-Correlation Function

    time [fs]

    0 200 400 600 800 1000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

  • time [fs]

    0 200 400 600 800 1000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    time [fs]

    0 1000 2000 3000 4000 5000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    Velocity Auto-Correlation Function

  • time [fs]

    0 2000 4000 6000 8000 10000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    Velocity Auto-Correlation Function

  • time [fs]

    0 200 400 600 800 1000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    Velocity Auto-Correlation Function

  • time [fs]

    0 200 400 600 800 1000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    time [fs]

    0 1000 2000 3000 4000 5000

    VA

    CF

    [arb

    .]

    -1.0

    -0.5

    0.0

    0.5

    1.0

    Velocity Auto-Correlation Function

  • time [fs]

    0 2000 4000 6000 8000 10000

    VA

    CF

    [arb

    .]

    -1.0