Quasielastic Neutron Scattering - ORNL...S Q r D A Qr l A Qr . 0,0 2 2 l n l 2 n r x 2 0 3 1 j Qr...

34
Quasielastic Neutron Quasielastic Neutron Scattering Ken Herwig Ken Herwig Deputy Director Neutron Facilities Development Division Oak Ridge National Laboratory J 14 2011 June 14, 2011

Transcript of Quasielastic Neutron Scattering - ORNL...S Q r D A Qr l A Qr . 0,0 2 2 l n l 2 n r x 2 0 3 1 j Qr...

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Quasielastic Neutron Quasielastic Neutron Scattering

Ken HerwigKen HerwigDeputy DirectorNeutron Facilities Development DivisionpOak Ridge National Laboratory

J 14 2011June 14, 2011

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OUTLINE

• Background – the incoherent scattering cross section of H• Neutrons and QENS• Experiment Design• Connection to Molecular Dynamics Simulations• The Elastic Incoherent Structure Factor (EISF)• The Role of Instrumentation

Restricted Diffusion Example Tethered Molecules• Restricted Diffusion Example – Tethered Molecules• References and Summary

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Incoherent and Coherent Scattering• Origin incoherent scattering arises when there is a random variability in the • Origin – incoherent scattering arises when there is a random variability in the

scattering lengths of atoms in your sample – can arise from the presence of different isotopes or from isotopes with non-zero nuclear spin combined with variation in the relative orientation of the neutron spin with the nuclear spin of the scattering center

• Coherent scattering – gives information on spatial correlations and collectivemotion.– Elastic: Where are the atoms? What are the shape of objects? – Inelastic: What is the excitation spectrum in crystalline materials – e.g. phonons?

• Incoherent scattering gives information on single particles• Incoherent scattering – gives information on single-particles.– Elastic: Debye-Waller factor, # H-atoms in sample, Elastic Incoherent Structure

Factor – geometry of diffusive motion (continuous, jump, rotations) Inelastic: diffusive dynamics diffusion coefficients– Inelastic: diffusive dynamics, diffusion coefficients.

• Good basic discussion: – “Methods of x-ray and neutron scattering in polymer science”, R.-J. Roe, Oxford

U i it P ( il bl )

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University Press. (available)– “Theory of Thermal Neutron Scattering”, W. Marshall and S. W. Lovesey, Oxford

University Press (1971). (out of print)

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Neutron Properties – H is our friend!

• Isotopic sensitivity of HIsotopic sensitivity of H– H has a large incoherent neutron scattering cross-section– H and D have opposite signed scattering lengths

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– Uncharged – penetrates deeply into materials– unpaired electrons in matter (dipole-dipole scattering)

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Quasi-elastic Neutron Scattering (Why Should I Care?)A li bl t id f i • Applicable to wide range of science areas– Biology – dynamic transition in proteins, hydration water– Chemistry – complex fluids, ionic liquids, porous media, surface

i t ti t t i t f linteractions, water at interfaces, clays– Materials science – hydrogen storage, fuel cells, polymers

• Probes true “diffusive” motions

120

140• Range of analytic function models• Useful for systematic comparisons

Neutrons AND (QENS OR quasi-elastic OR quasielastic)

80

100

0

Publ

icat

ions• Close ties to theory – particularly

Molecular Dynamics simulationsC l t

20

40

60N

umbe

r of P• Complementary

• Light spectroscopy, NMR, dielectric relaxation

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02004 2005 2006 2007 2008 2009 2010

Year

• Unique – Answers Questions you cannot address with other methods

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A Neutron Experimentscattered neutron detector

fk

scattered neutron detector

k 2

ik

f

incident neutron

M tt d

nm

kE Energy2

2incident neutronsample

Measure scattered neutrons as a function of Q and S(Q,).

fi

fi

EE

kkQ

TransferEnergy = 0 elastic

≠ 0 inelastic

near 0 quasielastic

fi

Q

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near 0 quasielastic

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Quasi-Elastic Neutron Scattering • Neutron exchanges small amount of energy g gy

with atoms in the sample• Harmonic motions look like flat background• Vibrations are often treated as Inelastic • Vibrations are often treated as Inelastic

Debye-Waller Factor• Maximum of intensity is always at = 0

S l h f i l Q• Samples the component of motion along Q• Low-Q – typically less than 5 Å-1

fk fk

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ik

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Experiment Design

• is the microscopic cross section (bn/atom) 10-24 cm2

• n is the number density (atom/cm3)n is the number density (atom/cm )• is the macroscopic cross-section (cm-1)

nThe transmission, T, depends on sample thickness, t, as:

n

• Good rule of thumb is T = 0 9

tT expGood rule of thumb is T = 0.9

5 – 15 mmole H-atoms for 10 cm2 beam (BaSiS HFBS CNCS DCS)

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(BaSiS, HFBS, CNCS, DCS)

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An Example – Water

2223 1034.31002.6mole1gm1

n 33 cmmolegm18cmn

224 cm10802 cm10802

cm34.5

ncm

mm209.0lnthicknesssample

t mm2.034.5

thicknesssample t

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QENS Spectra

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Incoherent Intermediate Scattering Function, S(Q,), and Molecular , ( , ),Dynamics Simulations• Intermediate Scattering Functiong

– time dependent correlation function– incoherent scattering –> no pair correlations, self-correlation function

l l bl f t i di t i M l l D i Si l ti– calculable from atomic coordinates in a Molecular Dynamics Simulation

ititI 0expexp1 RQRQQ

– S (Q ) – the Fourier transform of I (Q t)

i

iiinc itiN

tI 0expexp, RQRQQ

– Sinc(Q,) – the Fourier transform of Iinc(Q,t)

dttitIS ii

exp)1 QQ

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dttitIS incinc

exp),2

, QQ

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QENS and Molecular Dynamics Simulations

• Same atomic coordinates used in classical MD are all that is needed to calculate Iinc(Q,t)to calculate Iinc(Q,t)

1,3 diphenylpropane tethered to the pore surface of MCM-41surface of MCM 41

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The Elastic Incoherent Structure Factor (EISF)• A particle (H-atom) moves out of

volume defined by 2/Q in a time shorter than set by the reciprocal of shorter than set by the reciprocal of the instrument sensitivity, d(meV) – gives rise to quasielastic broadening. g

• The EISF is essentially the probability that a particle can be found in the same volume of space pat some subsequent time.

• The ratio of the Elastic Intensity to the total Intensity 2 /Qthe total Intensity 2/Q

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QENS and Neutron Scattering Instruments

• Probe Diffusive Motions– Length scales set by Q, 0.1 Å-1 < Q < 3.7 Å-1, 60 Å > d > 1.7 Å.

Ti l t b th idth f i t t l ti t i ll t l t 0 1 V (f h ) – Time scales set by the width of instrument energy resolution, typically at least 0.1 meV (fwhm) but higher resolution -> longer times/slower motion

• Energy transfers ~ ± 2 meV (or less)– High resolution requirements emphasizes use of cold neutrons (but long limits Q)– Incident neutron wavelengths typically 4 Å to 12 Å (5.1 meV to 0.6 meV)

Why a variety of instruments? (Resolutions vary from 1 eV to100 eV)• Why a variety of instruments? (Resolutions vary from 1 eV to100 eV)– Terms in the resolution add in quadrature – typically primary spectrometer (before sample),

secondary spectrometer (after the sample)I t i h l ti t t li l i t fl (id ll )– Improvement in each resolution term cost linearly in neutron flux (ideally)

– Optimized instrument has primary and secondary spectrometer contributions approximately equal

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– Factor of 2 gain in resolution costs at a minimum a factor of 4 in flux

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Role of Instrumentation• Currently about 25 neutron scattering instruments in the world useful for QNS Currently about 25 neutron scattering instruments in the world useful for QNS

(approximately 5 in the U. S.)• U.S. instruments – Opportunity is Good- Competition is Strong

– NIST Center for Neutron Research• Disc Chopper Spectrometer• High Flux Backscattering Spectrometer• Neutron Spin Echo

Lujan Los Alamos National Laboratory– Lujan – Los Alamos National Laboratory• Rebuild of QENS instrument from IPNS

– Spallation Neutron Source• BaSiS – near backscattering spectrometer (3 eV)• Cold Neutron Chopper Spectrometer (CNCS) (10 – 100 eV)• Neutron Spin Echo (t to 1-2 sec)

• Trade-offs– Resolution/count rate– Flexibility– Dynamic range

N t Q

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– Neutron vs Q• large high resolution -> long times/slow motions• large limited Q-range, limited length scales

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The High-Resolution Neutron Spectrometer Landscape

Backscattering

Small Molecule Diffusion

Cold Neutron Chopper

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BaSiS - SNS Near BackscatteringSpectrometer

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Restricted Diffusion – Tethered MoleculesS l i l 0Samples – typical 0.7 g

240 K < T < 340 K

Simple Fit – Lorentzian +

Pore Radius (nm)

Coverage (molecules/nm2)

1 63 0 85 (saturation)

Simple Fit Lorentzian

1.63 0.85 (saturation)2.12 1.04 (saturation)

2 960.600 752.96 0.75

1.61 (saturation)MCM-41 (2.9 nm pore diameter) high DPP coverage

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Elastic Scans – Fixed Window Scans

Coverage Dependence Pore Size Dependence

3exp0 22 uQIQI

Onset of diff si e and Onset of diffusive and anharmonic motion

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What if I don’t have Molecular Dynamics or other Theory? Simple Analytical Model e g

2r

Simple Analytical Model – e.g. Diffusion in a Sphere

2

22

00 )12(1,,,

ln

lns

D

rDx

QrAlQrADrQS

0,0. 22

2nl ln r

Dx

2

10 3

QrjQAEISF 10

0

QrQjQAEISF:

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Volino and Dianoux, Mol. Phys. 41, 271-279 (1980).

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Extend to a Sum over Spheres of Varying Size (15 H-atoms)y g ( )

DPPSi OSi O

lii

i llRR max

Si OSi O

15

,,,, iisDPP DRQSQS

natoml

1i

iisDPP QQ

15

2

1 )(31)1( iQRjffQEISF

115

)1(i

imm QR

ffQEISF

LorentzianQAQAQS 1,

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QAQEISF

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Fit to data (HFBS – NCNR) 29.6 Å diameter pore, 320 K, Q = 1 Å-1

-1

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EISF – 29.6 Å radius DPP sample, saturation

Non zero asymptote f

Curvature determines Rmax

Non-zero asymptote implies immobile H-atoms (on the time scale of this

fm

instrument)

1-fm

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29.6 Å radius DPP sample, saturation

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Lorentzian (Q)

Non zero interceptNon-zero interceptImplies restricted/confined diffusion

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DPP – 29.6 Å diameter pores – 370 K (BaSiS - SNS) – Beyond the EISF – Fitting the Model to the Full Data Set

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Detailed Fits

Si OSi O

DPPSi OSi O

PPE3Si OSi O O

PPE3

Additi l H b d

15

Additional H-bond interaction

15

1,,,,

iiisDPP DRQSQS

l

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natom

ii l

lRR max

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Example 2: Dendrimers – Colloidal Polymer – pH responsive

Dendrimers bind to receptors on HIV virus preventing infection of T cells. SharpharpmC & E News 83, 30 (2005)

“Trojan horse” – folic acid adsorbed by cancer cell delivering the anti-cancer drug

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as well James R. Baker Jr., Univ. of Michigan Health Sciences Press Release

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SANS Results – Global Size Constant, Redistribution of Mass

Samples: 0.05 gm protonateddendrimer in 1 ml deuterateddendrimer in 1 ml deuteratedsolvent

Molecular Dynamics SimulationsAcidicBasic

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Methodology• Determine center-of-mass translational motion with pulsed Determine center-of-mass translational motion with pulsed

field-gradient spin echo NMR– Could have been determined directly from QENS measurement but

this tied down parameter setthis tied down parameter set• Measure (dendrimer + deuterated solvent) – (deuterated

solvent) -> dendrimer signal• Vary pH to charge dendrimer amines ( = 0 (uncharged), =

1 (primary amines charged), = 2 (fully charged)) int ,,, COM QSQSQS

tii t ll li dd l d

2

2

0 )12(1ln

l rDx

QrAlQrAQS

asmotioninternallocalizedmodeled

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0,0. 22

22

0int )12(,nl l

n

n

rDx

QrAlQrAQS

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Localized Motion of Dendrimer Arms

Q = 0.5 Å-1

Q = 1.3 Å-1

Localized motion modeled as Diffusion in a Sphere

R 2 8 Å i d d tX. Li, et al, Soft Matter 7, 618- R ~ 2.8 Å, independent

1.60 ± 0.03 10-10 m2/s = 0D 2.58 ± 0.03 10-10 m2/s = 1

X. Li, et al, Soft Matter 7, 618622 (2011)

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D 2.58 ± 0.03 10 m /s 13.11 ± 0.03 10-10 m2/s = 2

Localized motion increases as amines are charged!

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Reference Materials- 1

• Reference Books– Quasielastic Neutron Scattering M Bee (Bristol Adam Hilger 1988)– Quasielastic Neutron Scattering, M. Bee (Bristol, Adam Hilger, 1988).– Methods of X-Ray and Neutron Scattering in Polymer Science, R.

–J. Roe (New York, Oxford University Press, 2000).– Quasielastic Neutron Scattering and Solid State Diffusion, R.

Hempelmann (2000).– Quasielastic Neutron Scattering for the Investigation of Diffusive

Motions in Solids and Liquids, Springer Tracts in Modern Physics, T. Springer (Berlin, Springer 1972).p g ( , p g )

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Reference Materials - 2• Classic Papersp

– L. Van Hove• Phys. Rev. 95, 249 (1954)

Phys Rev 95 1374 (1954)• Phys. Rev. 95, 1374 (1954)

– V. F. Sears• Canadian J. Phys. 44, 867 (1966)• Canadian J. Phys. 44, 1279 (1966)• Canadian J. Phys. 44, 1299 (1966)

– G H VineyardG. H. Vineyard• Phys. Rev. 110, 999 (1958)

– S. Chandrasekhar• “Stochastic Problems in Physics and Astronomy”, Rev. Mod. Phys. 15, 1 (1943) (not really

QNS but great reference on diffusion models)

• Data Analysis – DAVE – NIST Center for Neutron Research

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yhttp://www.ncnr.nist.gov/dave/

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SUMMARY• QENS is an excellent technique to measure diffusive dynamics• QENS is an excellent technique to measure diffusive dynamics

– Length scales/geometry accessible through Q-dependence– Many analytic models form a framework for comparison

L f ti l ( b i d < t < d ( f NSE)– Large range of time scales ( sub-picosecond < t < nanosecond (sec for NSE)– H-atom sensitivity

• Instrument selection is a critical decision – the resolution must match the time scale of the expected motion

• World-class instrumentation is currently available in the U.S.

N t l ti t th (M l l D i Si l ti )• Natural connection to theory (Molecular Dynamics Simulations)

• Software – DAVE at the NCNR at NIST – available from the NCNR Web site– Need much closer coupling to theoretical modeling, especially molecular dynamics p g g, p y y

simulations – coherent QNS

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