Globalwafers Co., Ltd.

Sunedison Semiconductor Limited (uen201334164h)

Sunedison Semiconductor Limited

John Francis Valley

Justin Scott Kayser

James Dean Eoff

William L Luter

Benjamin Michael Meyer

Vandan Tanna

Benno Orschel

Markus Jan Peter Siegert

Andrey Melnikov

A method of detecting defects on a semiconductor wafer includes directing diffuse light to the semiconductor wafer and reflecting the diffuse light off of the semiconductor wafer. The method further includes detecting the diffuse light with a camera to generate an image of the semiconductor wafer and analyzing the image to detect defects on the semiconductor wafer.

Method of processing a cleaved semiconductor wafer

A semiconductor wafer processing system for processing a semiconductor wafer includes a semiconductor wafer processing station for processing the semiconductor wafer and a semiconductor wafer imaging system that images the semiconductor wafer after the semiconductor wafer processing station processes the semiconductor wafer. The semiconductor wafer imaging system includes shroud panels defining a black box, a camera positioned in the black box for imaging the semiconductor wafer, and an illumination panel for directing diffuse light to the semiconductor wafer. A portion of the diffuse light is reflected off the semiconductor wafer and the camera images the semiconductor wafer by detecting the reflected diffuse light.

Cleaved semiconductor wafer imaging system

A semiconductor wafer imaging system for imaging a semiconductor wafer includes shroud panels defining a black box, a camera positioned in the black box for imaging the semiconductor wafer, and an illumination panel for directing diffuse light to the semiconductor wafer. A portion of the diffuse light is reflected off the semiconductor wafer and the camera images the semiconductor wafer by detecting the reflected diffuse light.

Cleaved semiconductor wafer camera system

Cleave systems for separating bonded wafer structures, mountable cleave monitoring systems and methods for separating bonded wafer structures are disclosed. In some embodiments, the sound emitted from a bonded wafer structure is sensed during cleaving and a metric related to an attribute of the cleave is generated. The generated metric may be used for quality control and/or to adjust a cleave control parameter to improve the quality of the cleave of subsequently cleaved bonded wafer structures.

Methods for separating bonded wafer structures

Cleave systems, mountable cleave monitoring systems, and methods for separating bonded wafer structures

A method for lithography nanotopography metrology is provided. The method includes receiving wafer thickness data for a plurality of wafers and applying an elongated filter to the wafer thickness data to produce a filtered thickness map for each of the plurality of wafers. The filter has a first cutoff wavelength in the x-direction and a second cutoff wavelength in the y-direction. The method further includes generating a report including at least one wafer metric associated with the filtered thickness map.

Wafer nanotopography metrology for lithography based on thickness maps

A method performs phase shift interferometry to detect irregularities of a surface of a wafer after the wafer has been placed into an interferometer and while the wafer is vibrating. Additionally, a system and a non-transitory computer-readable storage medium have computer-executable instructions embodied thereon for performing phase shift interferometry to detect irregularities of a surface of a wafer after the wafer has been placed into an interferometer and while the wafer is vibrating.

Systems and methods for performing phase shift interferometry while a wafer is vibrating

Methods and systems for use in detecting an air pocket in a single crystal material are described. One example method includes providing a matrix including a plurality of data units, the plurality of data units including image data related to a region of interest of the single crystal material; determining, by a processor, a difference between data units of the matrix and a corresponding data unit of the matrix, wherein the corresponding data unit is defined by a first operation of the matrix; calculating, by the processor, a first index value based on the differences of the corresponding data units; and identifying an air pocket within the single crystal material based on the first index value and a predetermined threshold.

Air pocket detection methods and systems

Methods and systems for use in detecting an air pocket in a single crystal material are described. One example method includes providing a matrix including a plurality of data units, the plurality of data units including image data related to a region of interest of the single crystal material; defining a first half and a second half of the matrix based on a first axis passing through the center of the matrix; determining, by a processor, a difference between each data unit of the first half and a corresponding data unit of the second half; calculating, by the processor, a first index value based on the determined differences; and identifying an air pocket within the single crystal material based on the first index value and a predetermined threshold.

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Lake Oswego, OR, United States of America

John Francis Valley