Erie, CO, United States of America

Larry E Daby


Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 76(Granted Patents)


Company Filing History:


Years Active: 2003-2008

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6 patents (USPTO):

Title: Innovations by Larry E. Daby in Magnetic Technology

Introduction

Larry E. Daby, an accomplished inventor based in Erie, Colorado, holds an impressive portfolio of six patents. His work primarily focuses on advancements in magnetic recording technologies, which have significant implications for data storage and retrieval.

Latest Patents

Among his latest inventions is a patent for a magnetic head that integrates an anisotropic magneto-resistive (AMR) reader, a giant magneto-resistive (GMR) reader, and an inductive-type writer. This innovative magnetic head allows for writing and reading data from various magnetic recording mediums, ensuring backward compatibility between high and low magnetic flux recording technologies. Another noteworthy patent involves the fabrication of a magnetic writer that features an embedded write gap between wear-resistant pole tip layers, enhancing the durability and efficiency of data writing processes on magnetic surfaces.

Career Highlights

Larry Daby has made significant contributions to the field of magnetic technologies through his role at Storage Technology Corporation. His advancements have helped shape the landscape of data storage solutions, making it easier and more reliable for users to access information.

Collaborations

Throughout his career, Larry has collaborated with other esteemed professionals, including John P. Biesecker and James C. Cates. These partnerships have fostered a rich environment for innovation and have contributed to the successful development of various patented technologies.

Conclusion

Larry E. Daby's inventive spirit continues to influence the field of magnetic recording. His contributions are a testament to the importance of innovation in technology, highlighting how dedicated inventors can drive progress and enhance existing solutions for better performance in data management.

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