Ballston Spa, NY, United States of America

Dmitry Spivak


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Dmitry Spivak: Innovator in Automated X-ray Methodology

Introduction

Dmitry Spivak is a notable inventor based in Ballston Spa, NY (US). He has made significant contributions to the field of automated decision-based energy-dispersive x-ray methodologies. His innovative work has led to the development of a patented technology that enhances the review process of defects in semiconductor manufacturing.

Latest Patents

Dmitry holds a patent for an "Automated decision-based energy-dispersive x-ray methodology and apparatus." This invention relates to a method for the automated review of defects detected in a defective die on a target substrate. The process includes performing an automated review using a secondary electron microscope (SEM) to obtain electron-beam images of the defects. It also involves classifying the defects into types based on their morphology, selecting specific types for automated energy-dispersive x-ray (EDX) review, and improving the accuracy of EDX results through automated techniques. Furthermore, the invention provides a method for classifying defects based on EDX results, combining both morphological and elemental information.

Career Highlights

Dmitry is currently employed at KLA Corporation, a leading company in the semiconductor industry. His work focuses on advancing technologies that improve defect detection and classification, which are crucial for enhancing manufacturing processes.

Collaborations

Dmitry has collaborated with talented professionals such as Harsh Sinha and Huina Xu. Their combined expertise contributes to the innovative projects at KLA Corporation.

Conclusion

Dmitry Spivak's contributions to automated x-ray methodologies represent a significant advancement in semiconductor technology. His patented work not only improves defect analysis but also enhances the overall efficiency of manufacturing processes.

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