Elizabethtown, KY, United States of America

Dakota Goodman

This inventor holds 1 USPTO granted patent. Top assignee: Flex Films (USA), Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dakota Goodman. Retrieved from https://idiyas.com/inventor/dakota-goodman-6v3cz9pb

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Dakota Goodman and Multilayer Article Innovation

Introduction

Dakota Goodman is an inventor associated with Elizabethtown, Kentucky, and Flex Films (USA), Inc. His patent work concerns multilayer articles and methods for producing them.

Latest Patents

Goodman is named on one patent, titled “Multilayer Articles and Methods of Making.” It describes multilayer articles formed from a stack of at least 64 repeating A-B layer units. Each unit includes a first nanolayer made from a heterogeneous blend and a second nanolayer made from a homogeneous material. The patent also describes methods for producing these multilayer structures.

Career Highlights

The patent reflects Goodman’s contribution to materials and manufacturing innovation, particularly the design and production of layered articles with distinct nanolayer compositions. His work is associated with Flex Films (USA), Inc.

Collaborations

David Ortiz-Grob and Steven Sargeant are identified as Goodman’s coworkers. Their shared professional context connects them to the company’s work, though the available information does not specify their roles in the patent.

Conclusion

Dakota Goodman’s patent documents an approach to producing multilayer articles with many alternating nanolayers, highlighting his contribution to materials innovation at Flex Films (USA), Inc.

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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