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Combined x-ray Texture-Structure- Microstructure analysis...

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Combined x-ray Texture-Structure- Microstructure analysis applied to ferroelectric ultrastructures: a case study on Pb 0.76 Ca 0.24 TiO 3 L. Cont ab , D. Chateigner a , L. Lutterotti b , J. Ricote c , M.L. Calzada c , J. Mendiola c LPEC, Univ. Le Mans, France DIM, Univ. di Trento, Italia DMF-ICMM-CSIC, Cantoblanco, Madrid, España
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Combined x-ray Texture-Structure-Microstructure analysis applied to

ferroelectric ultrastructures: a case study on Pb0.76Ca0.24TiO3

L. Cont ab, D. Chateigner a, L. Lutterotti b, J. Ricote c, M.L. Calzada c, J. Mendiola c

LPEC, Univ. Le Mans, France DIM, Univ. di Trento, Italia DMF-ICMM-CSIC, Cantoblanco, Madrid, España

Summary •  Usual up-to-date approaches for polycrystals

– Texture – Structure-Microstructure – Problems on ultrastructures

•  Combined approach – Experimental needs – Methodology-Algorithm – Ultrastructure implementation – Case study on Pb0.76Ca0.24TiO3

•  Future trends

Usual Texture Analysis X=010

Y=100Z=001

β

X

Y

φχχχφπ

χφ d d nsi )P( 41 =

V)dV(

{hkl} pole figure measurement + corrections:

dg (g)f 81 =

VdV(g)

We want f(g) (ODF): with g = (α,β,γ) X=010

Y=100Z=001

c

a

b

αβ

γX

Y

∫><

ϕπ y//hkl

hkl~d f(g)

21 = )y(P

!

!

We have to invert (Fundamental equation of Texture Analysis):

( ) ⎥⎥⎥⎥

⎢⎢⎢⎢

=

∏+

hkl

I1

nhkl

0n1n

)y(P

)g(f )g(f N )g(f!

WIMV refinement method: Williams-Imhof-Matthies-Vinel

Usual Structure-Microstructure Analysis

)bkg(2)2(S)2(I = )I(2phases hkl,

phases hkl,phases hkl, θ+θθθ ∑

(Full pattern fitting, Rietveld Analysis) Si3N4 matrix with SiC whiskers:

Random powder:

2c

Phkl

2hklhkl V

LmFS)2(I =θ

S: scale factor (phase abundance) Fhkl: structure factor (includes Debye-Waller term) Vc: unit-cell volume

)2(S*)2(S)2(S Shkl

Ihklhkl θθ=θ

SI: instrumental broadening SS: Sample aberrations

crystallite sizes (iso. or anisotropic) rms microstrains ε

Problems on ultrastructures

Ferroelectric film (PTC) Electrode (Pt)

Antidiffusion barrier (TiO2) Oxide (native, thermally grown)

SC Substrate (Si)

- Strong intra- and inter-phase overlaps - Mixture of very strong and lower textures - texture effect not fully removable: structure - structure unknown: texture

001/

100

PTC

111

PTC

+ 1

11 P

t

011/

110

PTC

+ S

i (λ/

2)

Sum diagram

Need something !!

Combined approach Experimental needs

ω = 20° ω = 40°

Mapping Spectrometer space for correction of: - instrumental resolution - instrumental misalignments

χ

60°

χ

60°

Methodology-Algorithm

Rietveld Structure, Microstructure

WIMV Texture

Rietveld and WIMV algorithm are alternatively used to correct for each others contributions: Marquardt non-linear least squares fit is used for the Rietveld.

Pole figure extraction (Le Bail method): Phkl(χ,ϕ)

Correction of intensities for texture:

Ihkl(2θ,χ,ϕ) = Ihkl(2θ) Phkl(χ,ϕ)

Ultrastructure implementation

Corrections are needed for volumic/absorption changes when the samples are rotated. With a CPS detector, these correction factors are:

( )( ) ( )( )χωµ−−χµ−−=χ cossin/T2exp1/cos/Tgexp1gC 21film top

( )( ) ( )( )χωµ−χµ−= ∑∑χχ cossin/T2exp/cos/TgexpCC 'i

'i

'i

'i2

film toplayer cov.

Gives access to individual Thicknesses in the refinement

PTC

Pt

a = 3.945(1) Å c = 4.080(1) Å T = 4080(10) Å tiso = 390(7) Å ε = 0.0067(1)

a = 3.955(1) Å T' = 462(4) Å t'iso = 458(3) Å ε' = 0.0032(1)

Case study on Pb0.76Ca0.24TiO3

WIMV vs Entropy modified WIMV approach

WIMV

E-WIMV

Better refinement with E-WIMV: - lower reliability factors (structure and texture) - better high density level reproduction

Texture PtTextureIndex(m.r.d.2)

PTCTextureIndex(m.r.d.2)

PtRP0

(%)

PTCRP0

(%)

Rw

(%)

RBragg

(%)WIMV 48.1 1.3 18.4 11.4 12.4 7.7EWIMV 40.8 2 13.7 11.2 7 4.7

Future trends - Combining with reflectivity measurements: independently measured and refined thicknesses, electron densities and roughnesses - Adding residual stress determinations - Multiple Analysis Using Diffraction, a web-based tutorial for the combined approach: search MAUD (Luca Lutterotti) - Quantitative Texture Analysis Internet Course: http://lpec.univ-lemans.fr/qta (Daniel Chateigner)

Acknowledgements This work is funded by EU project ESQUI (http://lpec.univ-lemans.fr/esqui : an x-ray Expert System for microelectronic film QUality Improvement, G6RD-CT99-00169), under the RTD program.

Quantitative Texture Analysis Internet Course

http://lpec.univ-lemans.fr/qta


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