Taoyuan, Taiwan

Yan-Jhu Chen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Applied Materials, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yan-Jhu Chen. Retrieved from https://idiyas.com/inventor/yan-jhu-chen

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Yan-Jhu Chen

Introduction

Yan-Jhu Chen is a notable inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of electronic device manufacturing. His innovative work focuses on enhancing manufacturing processes through advanced technologies.

Latest Patents

Yan-Jhu Chen holds a patent for "Methods and mechanisms for generating virtual knobs for model performance tuning." This invention involves an electronic device manufacturing system that is designed to receive input data reflecting features related to the manufacturing process of a substrate. The system is configured to train a machine-learning model based on this input data. Furthermore, it modifies the machine-learning model in view of the virtual knob for the feature. This patent showcases his expertise in integrating machine learning with manufacturing processes.

Career Highlights

Yan-Jhu Chen is currently employed at Applied Materials, Inc., a leading company in the field of materials engineering. His role involves leveraging his innovative ideas to improve manufacturing systems and processes. His work has contributed to the advancement of technology in the industry.

Collaborations

Some of his notable coworkers include Jui-Che Lin and Chao-Hsien Lee. Their collaboration has likely fostered an environment of innovation and creativity within their projects.

Conclusion

Yan-Jhu Chen's contributions to electronic device manufacturing through his patent and work at Applied Materials, Inc. highlight his role as a key innovator in the industry. His advancements in machine learning applications for manufacturing processes are paving the way for future innovations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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