This inventor holds 1 USPTO granted patent. Top assignee: Lam Research Corporation. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016
Title: Innovations by Fan-Cheung Sze
Introduction
Fan-Cheung Sze is an accomplished inventor based in Fremont, CA. He has made significant contributions to the field of cleaning technologies, particularly in the method of wet cleaning aluminum chamber parts. His innovative approach has garnered attention in the industry.
Latest Patents
Fan-Cheung Sze holds a patent for a "Method of wet cleaning aluminum chamber parts." This method involves a series of steps to effectively clean aluminum parts with both bare and anodized surfaces. The process includes CO2 dry ice blasting, masking, soaking in deionized water, and scrubbing with an abrasive pad. This meticulous method ensures that the aluminum parts are thoroughly cleaned while maintaining their integrity.
Career Highlights
Fan-Cheung Sze is currently employed at Lam Research Corporation, where he applies his expertise in cleaning technologies. His work has been instrumental in advancing the methods used in the semiconductor industry. With a focus on innovation, he continues to contribute to the development of efficient cleaning processes.
Collaborations
Fan-Cheung has collaborated with notable colleagues such as Yan Fang and Duane Outka. Their combined efforts have led to advancements in cleaning technologies and have fostered a collaborative environment that encourages innovation.
Conclusion
Fan-Cheung Sze's contributions to the field of cleaning technologies, particularly through his patented method, highlight his role as an innovative inventor. His work at Lam Research Corporation and collaborations with colleagues further emphasize his commitment to advancing industry standards.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
