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Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Structure solution of modulated structures by
charge flipping in superspaceLukas PalatinusEPFL Lausanne
Switzerland
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
• The principle of charge flipping
• Superspace
• Limitations and how to overcome them
• Implementation and demonstration
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
• Published by Oszlanyi & Sütö (2004), Acta Cryst A
• Iterative algorithm• Requires only lattice parameters and reflection
intensities• The output is an approximate scattering density
of the structure sampled on a discrete grid• No use of atomicity, only of the “sparseness” of
the electron density• No use of symmetry apart from the input
intensities• Related to the LDE (low density elimination)
method (Shiono & Woolfson (1992), Acta Cryst. A; Takakura et al. (2001), Phys.Rev.Lett.)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Flow chart
structure factors
electron density
“flipped” electron density
“flipped” structure factors
random phases
+experimental amplitudes
inverse FT
flip all charge below a (small) threshold δ
FT
Combine phases of the flipped SF with amplitudes of the experi-mental SF
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
structure factors
electron density
“flipped” electron density
“flipped” structure factors
random phases
+experimental amplitudes
inverse FT
flip all charge below a (small) threshold δ
FT
Combine phases of the flipped SF with amplitudes of the experi-mental SF
Flow chart
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Charge flipping reconstructs the density always in P1
Reason: in P1 the maxima can appear anywhere in the cell. In higher symmetry the choice is limited -> lower effectivity.
Advantage: No need to know the symmetry, symmetry can be read out from the result
Disadvantage: The structure is randomly shifted in the cell -> it is necessary to locate the origin
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Charge flipping does not use “atomicity” -> no problem to apply to superspace densities:
• The 3D density is replaced by a (3+d)D superspace density sampled using a (3+d)D grid
• The structure factors are indexed by (3+d) integer indices. They represent the coefficients of the Fourier transform of the superspace density.
No need to know the average structure!
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
All tested modulated structures could be solved by charge flipping:
structure symmetry composition VUC atoms
tantalum germanium telluride Pnma(00γ)s00 TaGe0.354Te2 347.3 16
lanthanum niobium sulphide F′m2m(α00)00s (LaS)1.14NbS2 439.9 5.32
4,4’-azoxyphenetole I2(α0γ)0 C16H18N2O3 1457.0 42
quininium (R)-mandelate P21(α0γ)0 C20H25N2O2+·C8H7O3
- 1214.6 70
tetraphenylphosphonium hexabromotellurate-(IV) bis{dibromoselenate(I)}
C2/m(α0γ)0s [(C6H5)4P]2
[TeBr6(Se2Br2)2]
2913.9 130
hexamethylenetetramine sebacate P21(α0γ)0 N4(CH2)6·(CH2)8(COOH)2 942.1 48
hexamethylenetetramine resorcinol I′mcm(0β0)s0s N4(CH2)6·C6H4(OH)2 1232.4 32
chromium(II) diphosphate C2/m(α β0)0s Cr2P2O7 258.7 24
Ce13Cd58 Amma(00γ)s00 Ce13Cd58 6692.3 77
d-QC AlCoNi 105/mmc Al70Co15Ni15
d-QC AlIrOs 105mc Al70Ir14.5Os12.5
i-QC AlPdMn Fm-3-5
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
tetraphenylphosphonium hexabromotellurate(IV)bis{dibromoselenate(I)}
<-CF
Br1
Fourier->
<-CF
C5
Fourier->
4086 out of 4247 reflections correctly phased (~96%)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
published sectionfinal structure
as obtained from charge flipping
d-QC Al-Co-Ni, Steurer et al., Acta Cryst. B49, 1993
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Requirements on the data:• Atomic resolution dmin=<1.0 A • Small to medium-sized structure (below ca
1000 atoms in the unit cell)• X-ray diffraction data• Complete dataset• Individual intensities are known (no
powder, no twins)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
• Atomic resolution dmin=<1.0 A• Small to medium-sized structure (below ca 1000 atoms in
the cell)• X-ray diffraction data• Complete dataset• Individual intensities are known (no powder, no twins)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
• Atomic resolution dmin=<1.0 A• Small to medium-sized structure (below ca 1000 atoms in
the cell)• X-ray diffraction data• Complete dataset• Individual intensities are known (no powder, no twins)
i-QC AlPdMn, unpublished neutron data provided by Marc de Boissieu
Solution: flip everything between - and + (Oszlanyi & Sütö, ECM23)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
• Atomic resolution dmin=<1.0 A• Small to medium-sized structure (below ca 1000 atoms in
the cell)• X-ray diffraction data• Complete dataset• Individual intensities are known (no powder, no twins)
0
20
40
60
80
100
0.00 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50
proportion of missing reflections
located atoms [%]
original charge flipping charge flipping with enhanced data
from Palatinus & Steurer, in preparation
Solution: extrapolate the missing reflections by MEM
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
-2 0 2 4 6 8 10 12
correct histogram histogram of partial solution
• Atomic resolution dmin=<1.0 A• Small to medium-sized structure (below ca 1000 atoms in
the cell)• X-ray diffraction data• Complete dataset• Individual intensities are known (no powder, no twins)
Two techniques to overcome this problem:
a) Repartitioning of the overlapping reflections according to the “flipped” structure factors (Wu et al. (2006), Nature Mater.)
b) Repartitioning using histogram matching (Baerlocher, McCusker & Palatinus (2006), submitted)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
-2 0 2 4 6 8 10 12
correct histogram histogram of partial solution
• Atomic resolution dmin=<1.0 A• Small to medium-sized structure (below ca 1000 atoms in
the cell)• X-ray diffraction data• Complete dataset• Individual intensities are known (no powder, no twins)
Two techniques to overcome this problem:
a) Repartitioning of the overlapping reflections according to the “flipped” structure factors (Wu et al. (2006), Nature Mater.)
b) Repartitioning using histogram matching (Baerlocher, McCusker & Palatinus (2006), submitted)
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Superflip
Superflip = charge FLIPping in SUPERspace
Program for application of charge flipping in arbitrary
dimension
Some properties:
• Keyword driven free-format input file
• Automatic search for δ
• Automatic search for the origin of the (super)space group
• Support for the histogram-matching procedure and
intensity repartitioning
• Continuous development
Palatinus & Chapuis (2006), http://superspace.epfl.ch/superflip
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
EDMA
EDMA = Electron Density Map Analysis (part of the BayMEM suite)
Program for analysis of discrete electron density maps:• Originally developed for the MEM densities• Analysis of periodic and incommensurately modulated
structures• Location of atoms and tentative assignment of
chemical type based on a qualitative composition• Export of the structure in Jana2000 format (SHELX and
CIF formats in preparation)
• Writes out the modulation functions in a form of a x4-xi table
Palatinus & van Smaalen, University of Bayreuth
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
s
d
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
s
d
d = (I-R).s
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
d = (I-R).s
How to find d?
Patterson function:
Symmetry correlation function:
S will have the “origin peak” at d
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
Example of a solution of a modulated structure:
QuickTime™ and aCinepak decompressor
are needed to see this picture.
Charge flipping in superspace, Aperiodic 2006, 21.9.2006
δ determines the amount of the flipped density.If δ is too small, the perturbation of the density is too
small and the iteration does not converge.
If δ is too large, too much of the density is flipped. In an extreme case all the density is flipped, which
leads to no change of the amplitude of the structure factors.
In practice δ can be determined easily by trial and error.
Parameter δ