Abstract: A semiconductor device measuring device includes: a light generator which generates light; a polarizer which polarizes the light; a wafer stage including a first load port on which an undoped reference wafer is loaded, and a second load port on which a doped sample wafer is loaded, the wafer stage being movable to first and second positions at which the polarized light is incident on the reference wafer and the sample wafer, respectively; a spectroscope which collects first and second Raman spectral information of light reflected from the reference and sample wafers, respectively; a photodetector which detects first and second Raman scattering signals based on the first and second Raman spectral information, respectively; a spectrum corrector which corrects the second Raman scattering signal using the first Raman scattering signal; and a controller which calculates a concentration of the dopant of the sample wafer using the corrected scattering signal.

Abstract: A method of predicting a shape of a semiconductor device includes implementing a modeled semiconductor shape with respect to a designed semiconductor layout, extracting a plurality of samples by independently linearly combining process variables with respect to the modeled semiconductor shape; generating virtual spectrums with respect to ones of the extracted plurality of samples through optical analysis, indexing the virtual spectrums to produce indexed virtual spectrums, generating a shape prediction model by using the indexed virtual spectrums as an input and the modeled semiconductor shape as an output, and indexing a spectrum measured from a manufactured semiconductor device and inputting the spectrum to the shape prediction model to predict a shape of the manufactured semiconductor device.

Abstract: A method of predicting a shape of a semiconductor device includes implementing a modeled semiconductor shape with respect to a designed semiconductor layout, extracting a plurality of samples by independently linearly combining process variables with respect to the modeled semiconductor shape; generating virtual spectrums with respect to ones of the extracted plurality of samples through optical analysis, indexing the virtual spectrums to produce indexed virtual spectrums, generating a shape prediction model by using the indexed virtual spectrums as an input and the modeled semiconductor shape as an output, and indexing a spectrum measured from a manufactured semiconductor device and inputting the spectrum to the shape prediction model to predict a shape of the manufactured semiconductor device.

Abstract: A method for detecting defects includes irradiating at least one electron beam into a first region of a substrate, irradiating at least one electron beam into a second region electrically connected to the first region, and detecting secondary electrons emitted from the second region. The electron beam irradiated into the first region may be the same or different from the electron beam irradiated into the second region. Alternatively, different beams may be simultaneously irradiated into the first and second regions. An image generated based on the secondary electrons shows a defect in the substrate as a region having a grayscale difference with other regions in the image.

Abstract: Apparatuses and methods for extracting defect depth information and methods of improving semiconductor device manufacturing processes using defect depth information are provided. The apparatuses may include an inspection assembly configured to obtain a plurality of optical images of a portion of an inspection object including a defect along a depth direction and a processor circuit configured to generate defect data using the plurality of optical images and provide defect depth information by comparing the defect data with comparison data in a library database.

Abstract: A method for detecting defects includes irradiating at least one electron beam into a first region of a substrate, irradiating at least one electron beam into a second region electrically connected to the first region, and detecting secondary electrons emitted from the second region. The electron beam irradiated into the first region may be the same or different from the electron beam irradiated into the second region. Alternatively, different beams may be simultaneously irradiated into the first and second regions. An image generated based on the secondary electrons shows a defect in the substrate as a region having a grayscale difference with other regions in the image.

Abstract: Provided are an apparatus and a method for estimating a depth of a buried defect in a substrate. The apparatus for estimating a depth of a buried defect in a substrate includes a light source providing a source of light, an aperture through which only a part of the source of light passes, a reflecting mirror receiving and reflecting the source of light that has passed through the aperture as a first light, a lens receiving and condensing the first light, the substrate receiving and reflecting the condensed first light as a second light, a light sensor receiving the second light and sensing a brightness of the second light, and a position adjustment portion adjusting a distance between the lens and the substrate.