Taipei,
November 22, 2011
F STEM EELS t lti di i l d
From STEM‐EELS to multi‐dimensional and multi‐signal electron microscopy
Christian Colliex
L b i d h i d S lid ld 10
Laboratoire de Physique des Solides, Bldg 510 Université Paris Sud, 91405, Orsay, France
christian colliex@u‐psud fr christian.colliex@u‐psud.fr
Outline Outline
Signals, instrumentation and methods for STEM EELS Atomically resolved elemental and bonding maps
Mapping plasmons and EM fields When electrons and photons team up
Electron Matter interactions Electron – Matter interactions
Secondary Secondary
Event vs.
Primary Event
Transmission Electron Microscopy ‐ A Textbook for Material Science David Williams and Barry Carter, Fig. 1.3, page 7.
Working modes for an transmission electron microscope
EDX spectroscopy
Electron source (0.5 à 2eV)
d ( )
Diffractions
object (gonio) condensers anode(s)
a few 100kV
HREM imaging object (gonio)
Objective lens
Nanolaboratory : Specific specimen holders and stages
Intermediate lenses Projector lens
Hologram
holders and stages
Electron Energy Loss Spectroscopy
(EELS) Hologram
Energy filtered imaging Magnetic
prism Energy filtered imaging
p
1980 20
STEMs with EELS analysers at Orsay
1980 ‐ 20xx
2008 ‐ 2011
y
2011 ‐ 20xx
VG HB 501
NION UltraSTEM 100
NION UltraSTEM 200
20 nm
EELS spectrum
EELS spectrum‐image at Orsay
A B
y
HADF image
450 400
350 300
Energy Loss (eV)
Magnetic spectrometer Spectrum 0.5 to 0.8 eV
1 ms to 5 s SPECTRE LIGNE
SPECTRUM LINE
Magnetic spectrometer E
E -E o
o Camera
CCD
Specimen
HADF detectors
A
Specimen
Probe
0-
(nm)
• 0.1 to 1nA
• in 0.5 to 1 nm
Scanning coils
I I I I
2 0 300 3 0 400
40- (nm)
Field emission gun 100 keV 250 300 350 400
Energy Loss (eV)
B
Multi‐dimensional microscopy in a composite space (x,y position, E energy and t time)
x
(x,y position, E energy and t time)
x
E y E
1D EELS t
x
0D : bit of information 1D : EELS spectrum
x
y 3D : spectrum image
data cube
y E (or x)
data cube
2D t li y
E 2D : spectrum line
or E‐ filtered image
Use of C correctors to reduce Use of Cs correctors to reduce
probe size or to increase probe current : i) <1 Å probe size at 100 kV,
Å
<0.7 Å at 200 kV
ii) 200 pA of current in a 1.4 Å probe
iii) 1 nA current in a 2 3 Å probe iii) 1 nA current in a 2.3 Å probe
Orsay Nion U‐STEM 100 acceptance tests
New UltraSTEM for aberration‐corrected nanoanalysis (delivered in Orsay in 2008)
(delivered in Orsay in 008)
The column is built from modules that all have the
a b modules that all have the
same mechanical
interface and are 100%
interchangeable.
interchangeable.
Each module has triple magnetic plus acoustic g p shielding.
Emphasis is on small probe formation and efficient coupling into detectors.
Everything including
sample exchange can be
t d t l
operated remotely.
Nion UltraSTEM 200 performance at
Orsay
Imaging molecules containing heavy atoms
(a) (b) (c)
0.5 nm 0.5 nm
1 nm 1 nm
(d) (d)
2 nm2 nm 2 nm2 nm
polyoxometalate (POM; As2W20O70Co(H2O)) molecules grafted on C‐SWNT courtesy A. Gloter, Orsay (2011)
BN monolayer with impurities imaged by MAADF
Result of DFT calculation overlaid on Matt Chisholm’s experimental MAADF image C ring is
N
C ring is deformed
Cx6
O
N
B C O
O
Longer
B C O
Longer bonds
Na C
adatom
C
Si substituting for C in monolayer graphene
Si 2 Å
Si
Si
Si N Si
Si Si
Si
M di l l d k fi ld (MAADF) i
Si at and near topological defects Si in topologically
correct graphene
Si at graphene’s edge
Medium angle annular dark field (MAADF) images.
Nion UltraSTEM100 at ORNL, 60 kV. Image courtesy Matt Chisholm, ORNL, sample courtesy Venna Krisnan and Gerd Duscher, U. of Tennessee.
Si substituting for C: 2 structures are possible
Si 2 Å
Si
Si Si
N Si
Si
Si Si
Si in defect‐free graphene strains (and Si in defective, but less strained graphene is buckles) the foil.
(courtesy Matt Chisholm)
more stable. (15 images added together, no other processing,
courtesy Juan‐Carlos Idrobo)
EELS spectroscopy : spectral domains
Phonons Plasmons Absorption edges IR
visible
UV X
2.5
) x 10 6 )
Low losses C l
1.5 2.0
ts number) Low losses Core lossesCK
1.0
sity (count
0.5
Energy loss (eV)
Intens
x50 x106
MnL2,3
0 100 200 300 400 500
0 600 700
EELS: Involved electron populations and associated transitions
Energy (eV)
CB. O ‐K
0^3 40
50 60
0^3
EF
VB.
x 10
10 20 30 40
x 10
120 Plasmons
IT
O 1
L2,3 eV
10
520 530 540 550 560 570 580 590 600 610
K eV
60 80
100 IT
TM 2p O 1s
0^3 200
250 300 350
0^3
TM L2,3 TM L2,3
20 40
0 5 10 15 20 25
-530 eV
-710 eV
2 x 10
0 50 100
x 10 150
eV
eV -725 eV
eV
0 695 700 705 710 715 720 725 730 735
eV
EELS gives informations on the electronic structure
EELS spectroscopy : spectral domains
Core energy‐loss domain Low energy‐loss domain
CK
CK MnL
2,3
Core energy loss domain Low energy loss domain
Plasmon modes
250 300 350 400 250 300 350 400
Energy loss (eV)
690
630 650 670
Energy loss (eV)
i h hi h h
0 10 20 30 40 Energy loss (eV)
Map with high accuracy the nature, the position and bonding of the atoms responsible for the
structural properties Map different physical
parameters, electronic, optical or magnetic,
which are especially important structural properties
of real materials
(defects, interfaces, nanomaterials)
R i i i h
which are especially important for electronic industries Requires instruments adapted
Requires instruments with best spatial and energy resolutions
(0.1 nm, 0.1 eV) to measure the properties of interest
at the relevant scale
Towards the nanolaboratoryIn all cases, develop the theory for interpreting spectroscopical data i e
Towards the nanolaboratoryspectroscopical data, i.e.
a physics of excited states
Absorption
Absorption edgesedges domaindomain ::
Absorption
Absorption edgesedges domaindomain : : three
three types of informationtypes of information
Identification of elements
CK
Elementary quantification
250 300 350 400
Energy loss (eV)
Study of the unoccupied electron states distribution
Quantitative elemental analysis
Q y
Characteristic signal : proportional to the number of atoms per unit area for the element detected in
BK S
area for the element detected in the analysed area
CK
S = ct. I N
NK
sity
Atomic concentration ratios:
NA SA B
Intens
NB
=
SB
A
200 300 400
Energy loss (eV)
EELS core‐level spectroscopy:
EELS core level spectroscopy:
elemental and bonding maps with atomic resolution
resolution
1. Individual atoms 1. Individual atoms
2. Crystalline structures and interfaces 3. Application to Tunnel ElectroMagneto 3. Application to Tunnel ElectroMagneto
Resistance – TEMR
Single atom identification (signal/noise criteria)
Peapods :
Gd@C82@SWCNT
Element selective single‐atom imaging
A HREM i
A : HREM image
B : Schematic presentation
C : Superposed maps of the Gd N45 and C K signals extracted from a 32x128 pixels spectrum image (C in 32x128 pixels spectrum‐image (C in blue, Gd in red)
K. Suenaga et al., Science (2000)
STEM imaging of peapods at 30 and 60 kV with Delta STEM imaging of peapods at 30 and 60 kV with Delta
corrector
30kV
60kV
Damage drastically reduced at 30kV
Courtesy Suenaga, Sawada & Sasaki (2010)
Single atom imaging by STEM‐EELS at low voltage with the g g g y g delta corrector
Endohedral fullerenes M@C82 (M= La, Ce, Er) Iizumi and Okazaki
Atom by atom labeling at 60kV y g
Courtesy K. Suenaga (AIST, Tsukuba, 2010)
Valence state identification of individual atoms
La3+ Ce3+
La3+ in LaCl3 Ce3+ in CeCl3 Ce4+ in CeO2
Courtesy K. Suenaga (AIST, Tsukuba, 2010)
EELS spectrum‐imaging across interfaces
S C C lli N t N&V (2007) See C. Colliex, Nature N&V (2007)
HAADF micrograph
Elemental maps recorded with NION UltraSTEM at Orsay
( t L B h 2011)
(courtesy Laura Bocher, 2011)
Spectroscopic imaging of LMO down the pseudocubic <110> axis. The sketch shows the projected structure of LMO down this direction. In green, the O K edge image; in blue the simultaneously acquired Mn L2,3 image and in red the La M4,5 image. The RGB overlay of the three elemental maps is also shown.
From M. Varela et al. to be published in MRS bulletin 01/2012
D. Muller et al. Science 319 (2008) 1073)
High resolution Z contrast image of a LCMO/YBCO/LCMO heterostructure The inset High resolution Z‐contrast image of a LCMO/YBCO/LCMO heterostructure. The inset marks the region where an EELS spectrum image was acquired, along with the
simultaneous ADF signal. (b) O K, Mn L2,3, Ba M4,5 and La M4,5 atomic resolution images (c) RGB overlay of the Mn (red) La (green) and Ba (blue) images in (b) The images. (c) RGB overlay of the Mn (red), La (green) and Ba (blue) images in (b). The sketch shows the interface structure.
From M. Varela et al. to be published in MRS bulletin 01/2012
Ferroelectric control of spin polarization (Tunnel ElectroMagneto Resistance – TEMR) (Tunnel ElectroMagneto Resistance – TEMR)
tunnel junctions with ferromagnetic electrodes for large nonvolatile control of carrier spin polarization by switching ferroelectric polarization
• ultrathin BTO ferroelectric
• half‐metallic LSMO as spin detector
• Fe electrode
p
• NGO: substrate
Information provided from STEM/EELS analyses
Garcia V. et al. Science DOI:
10.1126/science.1184028
* Structural quality of the film growth and the interfacial area
* Termination planes at the interfaces
* Oxidation states of the TM at the atomic scale
d d d h l l h / f
In order to understand the electromagnetic coupling at the FE/FM interface
Garcia V. et al. Science (2010)
Ferroelectric control of spin polarization
V Garcia et al (Thales/CNRS Palaiseau LPS Orsay U Cambridge) V. Garcia et al (Thales/CNRS Palaiseau, LPS Orsay, U. Cambridge)
BTO
Fe LSMO NGO
10 nm
Fe BTO
[001]
[110]
1 nm
[001]
USTEM data courtesy A. Gloter & L. Bocher
TMR (H) measured for reversed bias polarities on the ferroelectric junction
y
L. Bocher et al. submitted (2011)
BaTiO3/Fe interface
i) one possible structure model model ii) image simulation
iii) and iv) HAADF experimental images) ) p g iv) elemental profiles
Courtesy L. Bocher & A. Gloter JOM 62 (12/2010) 53‐57
STEM imaging the interface BTO‐Fe
HAADF BF
Atomic structure at the interface :
comparison experiment, models and simulations
L. Bocher et al. submitted (2011)
Elemental composition and Fe EELS L23 fine structures across the interface
Presence of oxidized Fe (in the Fe++ as well as in the Fe+++
state) over one atomic layer at the interface
L. Bocher et al. submitted (2011)
Modelling the interface and electronic structure calculations
DFT calculations
of the spin polarisation L. Bocher et al. submitted (2011)
Orsay STEM
Trends of the accessible
1
0.2 2
performance in terms of spatial 90s
and spectral resolution (updated in 2010)
1 1
EFTEM 70s Cs correctors
(updated in 2010)
0.3 0.3
V)
IBM STEM
Must be accompanied with a parallel 90s
development in data processing and modelization tools (propagation of a
∆E (eV
modelization tools (propagation of a sub‐angström electron probe across a thin specimen, physics of the inelastic
scattering, calculation of electron
0.1 0.1
Monochromators 80 00 U‐STEM
2010
g,
density of states…)
0.2 1 2
80s‐00s
0.1 2010
Where are we now ?
∆x (nm)
Mapping plasmons and EM fields
Mapping plasmons and EM fields
4D (
4D (x,y,E,tx,y,E,t) Spectrum) Spectrum‐‐imagingimaging modemode
e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐ e‐
Improved energy resolution
(0 2 eV) (0.2 eV)
Sample
0 / i l
at each pixel
• 50 spectra/pixel
• 3 ms/spectrum
d l ti
+ HAADF signal
• deconvolution
New possibilities for studying the low energy‐loss domain
Deconvolution techniques open the way to investigating nanophotonics with electrons
2.25 eV I.R. U.V.
1.8 eV
1 15 eV
Increase in ΔE
(f 0 35 V t 0 25 V) 1.15 eV
0 2 4 6
Energy loss (eV)
(from 0.35 eV to 0.25 eV) Cut‐off of zero loss signal
at 0.9 eV (IR)
New technical possibilities (A. Gloter, A Douiri, M. Tencé)
Higher
signal‐to‐background ratio
Mapping surface plasmon resonances of triangular silver nanoprisms
B of triangular silver nanoprisms
78 nm edge long 78 nm edge long
nanoprism nanoprism
A C B
D
Energy map of the “tip” mode
J. Nelayah et al. Nature Physics, 3, 348‐353 (2007)
EELS simulations of triangular Ag nanoprisms
(courtesy J. Garcia de Abajo, Madrid)
1.9 eV 2.9 eV
0.8
3.4 eV 1.0
0.2 0.4 0.6
0.0
•100 Kv electrons
•78 nm long and 10 nm thick Ag prismg p
Modes in an Ag nanoantenna (aspect ratio L/r increases)
(coll Cambridge Stuttgart courtesy P Midgley)
1.2eV 1.4eV 1.6eV
(coll. Cambridge‐Stuttgart, courtesy P. Midgley)
1.2eV 1.4eV 1.6eV
2 3
1 8 V 2 0 V 2 2 V 2 4 V
1.8eV 2.0eV 2.2eV 2.4eV
4 5 6
2 6 V
EFTEM i 2.6eV 2.8eV 3.0eV 3.2eV
EFTEM series on SESAM machine 660 nm Ag nanorod
7
0.2eV slit width
Silver nanoantennas EELS (2)
Nano Lett 11, 1499 (2011)
Experiments versus simulations
(DDA of |Ez|2 at 60 nm above antenna)
When electrons and photons team up
« Multi‐signal microscopy »
« When electrons and photons and photons
team up »
by F.J. Garcia de Abajo (Nature 462 (2009) 861)
Light detection (inserting a parabolic mirror within the VG pole piece)
VG pole piece)
home-made cold stage + light
d t t (L Z l S
detector (L. Zagonel+ S.
Mazzucco + M. Kociak) Monochromatic electron beam
Electron Induced Radiation Emission (Cathodoluminescence)
Electron Energy-Loss
Absorption by EELS
gy Spectrum
Emission by CLy Absorption by EELS
2 patents (licensing opportunities)
2D photon emission spectral‐
emission spectral‐
imaging
‣Spatial sampling: 0.7 nm
‣S t l li 2 ( 8 V)
VG HB501
L. Zagonel, M. Kociak et al., NanoLetters 2011
‣Spectral sampling: 2 nm (ca 8 meV)
‣Individual QD optical properties revealed!
Spectral Imaging with electrons
EELS CCD camera EELS
spectrometer
EELS scintillator
HAADF
EELS aperture EELS scintillator
c
Sample
Secondary Electrons
CL Spectrometer
Obj ti l CL
Mirror
CL Spectrometer
CL PM
Electron gun tip Scan coils
Objective lens
M. Kociak et al., patents pending L. Zagonel, A. Losquin et al., unpublished,
‣Absorption and emission on the same object
‣@ nm resolutions..
p ,
Absorption and Emission
multi-detection: HADF+
EELS + EIRE (CL) first proof of principle for simultaneous EELS/EIRE
symmetry of the modes, modal decomposition?
CL
Energy 2.2 eV
EELS
(radiative and non
CL
(only radiative modes)
radiative modes) No energy resolution limitation by the PSF detection system:
optical spectroscopy at a true nanometer scale
Nature, 17 december 2009
and now?
With synchronised light injection (cf Zewail’s group at UCLA)
New spectroscopies synchronizing electrons and photons (injecting light)
•(i) electron energy‐GAIN spectroscopy
•(ii) dynamics of excited states
•(ii) dynamics of excited states
The most The most
recent
textbook on the market…
MRS Bulletin, january 2012 on
“Spectroscopic Imaging in Electron Microscopy”
Ed S P k & C C lli Eds. S. Pennycook & C. Colliex
Invited contributions : Invited contributions : G. Botton, McMaster, Canada
M Varela et al ORNL USA and Madrid Spain M. Varela et al. ORNL, USA and Madrid, Spain
M. Kociak, Orsay, France & J. Garcia de Abajo, Madrid, Spain K. Suenaga et al. AIST, Japan
L J All t l M lb A t li L.J. Allen et al. Melbourne, Australia M. Aronova & R.D. Leapman, NIH, USA
The Orsay team enabling the future (june 2011)
http://www.lps.u‐psud.fr/stemlps
Thanks to all my colleagues at LPS Orsay Thanks to all my colleagues at LPS Orsay
Guillaume Boudarham, Laura Bocher N th li B Al d Gl t
Nathalie Brun, Alexandre Gloter, Mathieu Kociak, Katia March, Stefano Mazzucco, Claudie Mory,
Odile Stéphan, Marcel Tencé, Almudena Torres-Pardo, Mike Walls,
Luis Zagonel and Alberto Zobelli from LPS Orsay, France
Thanks to CNRS CNRS and to EC funded programs EU Thanks to CNRS CNRS and to EC funded programs EU
SPANS et ESTEEM and to all our partners who have submitted scientific issues to solve and suited specimens