Mapping Texture in Thin Films D. Chateigner CRISMAT-ISMRA, Caen, - - PowerPoint PPT Presentation

mapping texture in thin films
SMART_READER_LITE
LIVE PREVIEW

Mapping Texture in Thin Films D. Chateigner CRISMAT-ISMRA, Caen, - - PowerPoint PPT Presentation

Mapping Texture in Thin Films D. Chateigner CRISMAT-ISMRA, Caen, France ISMRA Summary Introduction Texture with regular scans Pole figures Typical pole figures Different approaches Experimental needs Choice of the


slide-1
SLIDE 1

Mapping Texture in Thin Films

  • D. Chateigner

CRISMAT-ISMRA, Caen, France

ISMRA

slide-2
SLIDE 2

Summary

  • Introduction

– Texture with regular scans – Pole figures – Typical pole figures

  • Different approaches

– Experimental needs – Choice of the detector – Choice of a reference frame

slide-3
SLIDE 3
  • Methodology

– Pole Figure Corrections (defocusing, volumic/ absorption, location, fluorescence) – ODF calculation – Estimators of refinement quality – Estimators of Texture strength – Measurements / Orientation space coverage

  • Simple objects to deal with

– Recalculated low-indices pole figures – Inverse pole figures (fibre textures) – Volumic ratios (single-crystal like and epitaxy) – Deal with components in the ODF space

slide-4
SLIDE 4
  • Why Texture Analysis

– Anisotropic Physical Properties

  • Elastic properties
  • Seismic wave velocities
  • Magnetic ferro or antiferro compounds
  • Anionic conductivity
  • Superconducting currents and Levitation forces

– Anisotropic measurements

  • Polarised EXAFS
  • ESR, Raman
  • Diffraction !!!!
  • Conclusions
slide-5
SLIDE 5

Estimators of Refinement Quality

RP Factors:

( )

) (y P ~ x, ) (y P ~ ) (y P ~

  • )

(y P ~ = ) (h RP

j

  • h

J 1 j= j

  • h

J 1 j= j c h j

  • h

i x

i i i i

θ

∑ ∑

I 1 = i i x x

) (h RP I 1 = RP

Individual pf:

... 10 1, , x x for t x > for t 1 ) t , x ( ε = ⎩ ⎨ ⎧ ≤ = θ

Averaged:

slide-6
SLIDE 6

[ ] ( )

) (y P ~ x, ) (y P ~ ) (y P ~

  • )

(y P ~ = ) (h RB

j

  • h

J 1 j= j 2

  • h

J 1 j= 2 j c h j

  • h

i x

i i i i

θ

∑ ∑ Bragg R-Factors: Weighted Rw-Factors:

[ ] ( )

) (y P ~ x, ) (y I w ) (y I w

  • )

(y I w = ) (h Rw

j

  • h

J 1 j= j 2 z h

  • ij

J 1 j= 2 j c h c ij j

  • h
  • ij

i x

i i i i

θ

∑ ∑

) (y I 1 w

j

  • h

ij

i

=

slide-7
SLIDE 7

RPs vary much with texture strength than Rws

100 200 300 400 500 600 700 800 25 50 75 100 125 150

RP RP1 F2

200 400 600 800 20 40 60 80 100 120 140

gRw0 gRw1 F2

slide-8
SLIDE 8

Estimators of Texture Strength

Texture Index:

i i i 2 2

g ) g ( f 8 1 F Δ π =

Entropy:

i i i i 2

g )] g ( f ln[ ) g ( f 8 1

  • S

Δ π =

slide-9
SLIDE 9

Measurements / Orientation Space Coverage

Say 20 measured (5° x 5°) complete pole figures: = 20 x 1398 = 27960 experimental points ODF (5° x 5° x 5°, triclinic): 98496 points to refine strongly underdetermined system !

slide-10
SLIDE 10

Evaluation of the OD coverage

Cubic Crystal Structure: {100} pole figure, measured up to c = 45°:

2

{100} + {110}, measured up to c = 45°:

5 3 6 3

{100} + {110} + {111}, up to c = 45°:

slide-11
SLIDE 11

Deal with components in the ODF space

α β γ Pole figures ODF γ-sections Component: (Hexagonal system) g = {85,80,35}