Göttingen, Germany

Oliver Gottsleben

This inventor holds 1 USPTO granted patent. Top assignee: Max-Planck-Gesellschaft Zur Förderung Der Wissenschaften E. V. . Active years: 1992.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Oliver Gottsleben. Retrieved from https://idiyas.com/inventor/oliver-gottsleben

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 1992

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1 patent (USPTO):Explore Patents

Title: Oliver Gottsleben: Innovator in CVD Methods

Introduction

Oliver Gottsleben is a notable inventor based in Göttingen, Germany. He has made significant contributions to the field of materials science, particularly through his innovative approaches to chemical vapor deposition (CVD) methods.

Latest Patents

Oliver Gottsleben holds a patent for a CVD method for depositing a layer on an electrically conductive thin substrate. This invention showcases his expertise in developing advanced techniques that enhance the functionality of electronic materials.

Career Highlights

He is currently affiliated with the Max Planck Society for the Advancement of Science, where he continues to push the boundaries of research and innovation. His work has been instrumental in advancing the understanding of deposition techniques in various applications.

Collaborations

Oliver collaborates with fellow researcher Michael Stuke, contributing to a dynamic research environment that fosters innovation and discovery.

Conclusion

Oliver Gottsleben's contributions to the field of CVD methods exemplify his commitment to advancing technology and materials science. His work continues to inspire future innovations in the industry.

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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