Rehovot, Israel

Ayelet Pnueli


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2003-2004

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2 patents (USPTO):Explore Patents

Title: Ayelet Pnueli: Innovator in Semiconductor Technology

Introduction

Ayelet Pnueli is a notable inventor based in Rehovot, Israel. She has made significant contributions to the field of semiconductor technology, particularly in the area of defect classification. With a total of 2 patents, her work has advanced the understanding of how defects impact the functionality and reliability of semiconductor wafers.

Latest Patents

One of Ayelet Pnueli's latest patents is focused on "Kill index analysis for automatic defect classification in semiconductor wafers." This innovative method prioritizes relational aspects of topological defect intersections, especially during an intermediate analytical testing stage of a multi-stage semiconductor fabrication process. The method analyzes the geometrical relationship between non-predetermined defects and the surrounding predetermined topology of a conductive semiconductor pattern. This analysis helps determine the effect of defects on the functionality and reliability of a wafer, particularly concerning the examined die. The classification of the effects of defects is quantified into a numerical value known as the "kill index," which is strongly correlated to the damage caused by the defect to the underlying integrated circuit.

Career Highlights

Ayelet Pnueli has worked with prominent companies in the semiconductor industry, including Applied Materials, Inc. and other notable organizations. Her expertise in semiconductor fabrication processes has positioned her as a key player in the field.

Collaborations

Ayelet has collaborated with various professionals, including her coworker Ariel Ben-Porath, who is also recognized for her contributions in the industry.

Conclusion

Ayelet Pnueli's innovative work in semiconductor technology, particularly her patents related to defect classification, showcases her significant impact on the industry. Her contributions continue to influence the reliability and functionality of semiconductor devices.

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