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Application Compendium - Agilent Technologies

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Figure 3. Topography and surface potential<br />

images of F14H20 adsorbate on Si surface. The<br />

images were recorded at relative humidity over<br />

95%. Scan size 3 μm. The contrast covers the<br />

topography and surface potential variations in<br />

the 0–14nm and 0–1.6 V ranges.<br />

spatial resolution is not essential the<br />

larger probes can be chosen for sensitive<br />

potential measurements. The latter can<br />

also benefit from slow scanning rates.<br />

As regarding the spatial resolution<br />

a strict criterion is the width of the<br />

surface potential transient region at<br />

the step between the substrate and<br />

adsorbate having different potential<br />

values. The analysis of the surface<br />

potential profiles at the steps of the<br />

fluoroalkane self-assembles shows<br />

that true spatial resolution is around<br />

20nm comparable with the size of the<br />

commercial conducting probes. For KFM<br />

compositional imaging of heterogeneous<br />

materials the spatial resolution of<br />

visualization of the heterogeneities<br />

is also important and we resolved the<br />

2nm features in such surface potential<br />

images [2].<br />

As KFM applications broaden, this<br />

technique was applied to a wide<br />

range of the samples in different<br />

environments. The KFM studies in the<br />

intermittent contact mode, which were<br />

carried out in high humidity [4] revealed<br />

that screening of the sample surface<br />

potential was less substantial compared<br />

to the results of KFM experiments<br />

conducted in the non-contact mode.<br />

The imaging of the fluoroalkanes in high<br />

humidity demonstrates this capability,<br />

Fig. 3. In these images a water<br />

adsorbate is seen between two domains<br />

of the fluoroalkanes, which exhibit<br />

strongly negative patterns in the surface<br />

potential images. At RH>95% the value<br />

of the surface potential of F14H20 is<br />

around -0.6V that is only slightly smaller<br />

than at ambient conditions (-0.75 V).<br />

3<br />

Figure 4. Two pairs of topography and<br />

surface potential images obtained at the<br />

same location of the Bi/Sn soldering<br />

material. Scans are 8 μm. The first pair of<br />

images was obtained immediately after the<br />

sample preparation and the second – 24 hr<br />

later. In the first pair of images, the contrast<br />

covers the height and potential changes<br />

in the 0–50nm and 0–0.8 V ranges. In the<br />

second pair of images, the contrast covers<br />

the height and potential changes in the<br />

0–100nm and 0–1.2 V ranges. The surface<br />

potential profiles taken along the directions<br />

indicated with the white dashed lines are<br />

presented separately.<br />

Below we will overview the applications<br />

of single-pass KFM to different<br />

materials: metals and semiconductors,<br />

organics and polymers.<br />

Metals and Semiconductors<br />

Surface potential of metals is directly<br />

related to their work function that<br />

varies in the 4V–5.5 V range for most<br />

common metals [6]. KFM can be<br />

employed for compositional images of<br />

metal alloys and even polycrystalline<br />

metal samples because the surface<br />

potential is different on various<br />

crystalline facets. The examples of<br />

KFM images of incomplete alloys<br />

of Bi with Sn are shown in Fig. 4.<br />

In these soldering materials KFM<br />

reveals domain morphology of this<br />

compound. The domains of Bi and Sn<br />

are distinguished in surface potential

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