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Imaging of multilayers with fresnel contrast by transmission electron microscopy

机译:通过透射电子显微镜对具有菲涅耳对比的多层成像

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Diffraction contrast and high resolution imaging, which are generally used to visualize multiplayers, fail when they are applied to study metallic multilayers (MLs) composed of elements with close atomic number. In such a case (i.e. Co/Cu multilayers) neither the absorption nor the structure can give enough contrast between elements to observe the dtails of the mutlilayer stacking. This is illustrated in Figure 1.a which shows a bright field image of (NiFe/Cu/Co/Cu)x8 multilayers deposited on Si. Thus, although the existence of a multilayer structure is clearly demonstrated by both small angle X-ray diffraction and electron diffraction, this does not appear clearly in the images in diffraction contrast. In such systems, if the crystals in the layers are not in strong diffracting condition, absorption is the predominant cause of contrast, and since the constituent elements have extremely close Z, the absorption will be identical for all the layers leading to little or not contrast. However, the contrast can be enhanced by defocusifng the objective lens of the microscope leading to the appearance of Fresnel fringes at the interface between thelayers (Figure 1.b). In this study we investigate the field of application of this contrast mode to extract both qualitative and quantitative information in metallic multilayers. We show that the fine details of the Fresnel fringes can be described quantitatively in order to assess the thickness and dwavines of the layers, and the interface sharpness.
机译:衍射对比和高分辨率成像通常用于可视化多人游戏,但是当它们用于研究由原子序数接近的元素组成的金属多层(ML)时,它们就会失败。在这种情况下(即Co / Cu多层),吸收率和结构都不能在元素之间提供足够的对比度,以观察多层堆叠的细节。这在图1.a中进行了说明,该图显示了沉积在Si上的(NiFe / Cu / Co / Cu)x8多层的明场图像。因此,尽管通过小角度X射线衍射和电子衍射都清楚地表明了多层结构的存在,但是在衍射对比度的图像中这并没有清楚地出现。在这样的系统中,如果层中的晶体不是处于强衍射状态,则吸收是形成对比的主要原因,并且由于组成元素具有非常接近的Z,因此对于所有层,吸收将是相同的,从而导致很少或没有对比。 。但是,可以通过散焦显微镜的物镜来增强对比度,从而在层之间的界面处出现菲涅耳条纹(图1.b)。在这项研究中,我们研究了这种对比模式在金属多层中提取定性和定量信息的应用领域。我们表明,可以定量描述菲涅耳条纹的精细细节,以便评估各层的厚度和dwavine以及界面的清晰度。

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