Kla Corporation

Kla Tencor Corporation

Prasanna Dighe

Dieter Mueller

Ady Levy

Daniel Ivanov Kavaldjiev

Mark Davis Smith

Pradeep Vukkadala

Amir Azordegan

Krishna Rao

Joseph Gutierrez

Wei Chang

Ramon Olavarria

Jaydeep K Sinha

Stephen Biellak

Juergen Reich

Alexander Buettner

Craig MacNaughton

Jason Saito

Dengpeng Chen

Xiaomeng Shen

Andrew Steinbach

Louis Vintro

Steve Zamek

Craig Macnaughton

Dong Chen

A controller is configured to perform at least a first characterization process prior to at least one discrete backside film deposition process on a semiconductor wafer; perform at least an additional characterization process following the at least one discrete backside film deposition process; determine at least one of a film force or one or more in-plane displacements for at least one discrete backside film deposited on the semiconductor wafer via the at least one discrete backside film deposition process based on the at least the first characterization process and the at least the additional characterization process; and provide at least one of the film force or the one or more in-plane displacements to at least one process tool via at least one of a feed forward loop or a feedback loop to improve performance of one or more fabrication processes.

Process-induced displacement characterization during semiconductor production

A system for analyzing a sample includes an illumination source with a plurality of transmitting optical fibers optically coupled to the illumination source and a detector with a plurality of receiving optical fibers optically coupled to the detector. The system further includes a plurality of probes coupled to respective ones of the plurality of transmitting optical fibers and respective ones of the plurality of receiving optical fibers. The plurality of probes are configured to illuminate respective portions of a surface of the sample and configured to receive illumination reflected, refracted, or radiated from the respective portions of the surface of the sample. The system may further include one or more switches and/or splitters configured to optically couple respective ones of the plurality of transmitting optical fibers to the illumination source and/or configured to optically couple respective ones of the plurality of receiving optical fibers to the detector.

Multi-spot analysis system with multiple optical probes

A method of using removable opaque coating for accurate optical topography measurements on top surfaces of transparent films includes: depositing a highly reflective coating onto a top surface of a wafer, measuring topography on the highly reflective coating, and removing the highly reflective coating from the wafer. The highly reflective coating includes an organic material. The highly reflective coating comprises a refractive index value between one and two. The highly reflective coating comprises a complex wavelength greater than one at six-hundred and thirty-five nanometers. The highly reflective coating reflects at least twenty percent of incident light. The highly reflective coating when deposited maintains an underlayer pattern topography at a resolution of forty by forty micrometers. The highly reflective coating does not cause destructive stress to the wafer.

Removable opaque coating for accurate optical topography measurements on top surfaces of transparent films

A method to collect data and train, validate and deploy statistical models to predict overlay errors using patterned wafer geometry data and other relevant information includes selecting a training wafer set, measuring at multiple lithography steps and calculating geometry differences, applying a plurality of predictive models to the training wafer geometry differences and comparing predicted overlay to the measured overlay on the training wafer set. The most accurate predictive model is identified and the results fed-forward to the lithography scanner tool which can correct for these effects and reduce overlay errors during the wafer scan-and-expose processes.

Statistical overlay error prediction for feed forward and feedback correction of overlay errors, root cause analysis and process control

Computer-implemented methods for inspecting and/or classifying a wafer are provided. One computer-implemented includes detecting defects on a wafer using one or more defect detection parameters, which are determined based on a non-spatially localized characteristic of the wafer that is determined using output responsive to light scattered from the wafer generated by an inspection system. Another computer-implemented method includes classifying a wafer based on a combination of a non-spatially localized characteristic of the wafer determined using output responsive to light scattered from the wafer generated by an inspection system and a spatially localized characteristic of the wafer determined using the output.

Computer-implemented methods for inspecting and/or classifying a wafer

Growing community of inventors

San Ramon, CA, United States of America

Prasanna Dighe