Nathan Franklin

Title: Nathan Franklin: Innovator in Cross-Point Memory Technology

Introduction: Nathan Franklin, based in San Mateo, CA, is a prolific inventor with an impressive portfolio of 29 patents. His contributions primarily focus on advancements in memory technology, particularly in the realm of programmable resistance memory cells in cross-point arrays.

Latest Patents: Among his latest innovations are two significant patents that enhance the functionality of cross-point memory arrays. The first patent, titled "Concurrent multi-bit self-referenced read of programmable resistance memory cells in cross-point array," introduces a method for concurrently accessing multiple memory cells using a forced current approach. This technique applies a select voltage to a selected bit line while driving an access current through each selected word line, thereby improving bandwidth and efficiency in memory systems. Notably, this method is compatible with memory cells like MRAM that require bipolar operation.

The second patent, "Concurrent write to programmable resistance memory cells in cross-point array," builds on similar principles to allow for efficient concurrent writing to memory cells, thus further enhancing performance and efficiency in memory systems.

Career Highlights: Nathan Franklin has extensive experience in the technology sector, having worked with renowned companies such as SanDisk Technologies Inc. and Intel Corporation. His roles at these organizations have allowed him to contribute significantly to the field of memory technologies.

Collaborations: Throughout his career, Nathan has collaborated with notable professionals, including Ward M. Parkinson and Michael Grobis. These partnerships have led to innovative developments in memory architectures and processing technologies.

Conclusion: Nathan Franklin's dedication to innovation in memory technology is evident through his numerous patents and collaborations. His work in developing concurrent access methods for programmable resistance memory cells marks a significant step forward in improving memory systems' efficiency and performance. As technology continues to evolve, Nathan's contributions will undoubtedly influence future advancements in this critical area.