Carl Zeiss Smt Gmbh

Dmitry Klochkov

Thomas Korb

Eugen Foca

Amir Avishai

Alex Buxbaum

Jens Timo Neumann

Keumsil Lee

Chuong Huynh

Ramani Pichumani

Hans Michael Stiepan

A 3D tomographic inspection method for the inspection of semiconductor features in an inspection volume of a semiconductor wafer includes obtaining a 3D tomographic image, and selecting a plurality of 2D cross section images. The method also includes identifying contours of HAR structures, and extracting deviation parameters. The deviation parameters describe fabrication errors such as displacement, deviation in radius or diameter, area or shape.

FIB-SEM 3D tomography for measuring shape deviations of HAR structures

Semiconductor structures can be investigated, e.g., in an in-line quality check. An x-ray scattering measurement, e.g., CD-SAXS, can be used for wafer metrology. The x-ray scattering measurement can be configured based on a slice-and-imaging tomographic measurement using a dual-beam device, e.g., including a focused ion beam device and a scanning electron microscope.

Parameterizing x-ray scattering measurement using slice-and-image tomographic imaging of semiconductor structures

A method of determining a size of a contact area between a first 3D structure and a second 3D structure in an integrated semiconductor sample, includes the following steps: obtaining at least a first cross section image and a second cross section image parallel to the first cross section image, wherein obtaining the first and second cross section images includes subsequently removing a cross section surface layer of the integrated semiconductor sample using a focused ion beam to make a new cross section accessible for imaging, and imaging the new cross section of the integrated semiconductor sample with an imaging device; performing image registration of the obtained cross section images and obtaining a 3D data set; determining a 3D model representing the first 3D structure and the second 3D structure in the 3D data set; and determining a relative overlap of the first 3D structure with the second 3D structure based on the 3D model.

Contact area size determination between 3D structures in an integrated semiconductor sample

Methods and evaluation devices for evaluating 3D data of a device under inspection are provided. A first machine learning logic detects target objects, and a second machine learning logic provides a voxel segmentation for the target objects. Based on the segmented voxels, a transformation to feature space is performed to obtain measurement results.

Methods and evaluation devices for analyzing three-dimensional data sets representing devices

A dual-beam device, such as, a scanning electron microscope combined with a focused-ion beam milling column, is employed for a slice-in-image process. Based on one or more images of at least one cross-section of a test volume of a wafer, a wafer tilt is determined.

Wafer-tilt determination for slice-and-image process

The present invention relates to a method for measuring a sample with a microscope, the method comprising the steps of: measuring a tilt of the sample, correcting an orientation of the sample based on the tilt, and scanning the sample.

Method for measuring a sample and microscope implementing the method

The present invention relates to a method for measuring a sample with a microscope, the method comprising scanning the sample using a focusing plane having a first angle with respect to a top surface of the sample and computing a confidence distance based on the first angle. The method further comprises selecting at least one among a plurality of alignment markers on the sample for performing a lateral alignment of the scanning step and/or for performing a lateral alignment of an output of the scanning step. In particular, the at least one alignment marker selected at the selecting step is chosen among the alignment markers placed within the confidence distance from an intersection of the focusing plane with the top surface.

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Schwaebisch Gmuend, Germany

Dmitry Klochkov