Company Filing History:
Years Active: 2005
Title: Innovations by Taraneh Jamali-Beh
Introduction
Taraneh Jamali-Beh is an accomplished inventor based in Santa Cruz, CA (US). She has made significant contributions to the field of memory technology, holding 2 patents that focus on enhancing the efficiency and performance of dual bit memory cores.
Latest Patents
Her latest patents include a "Hard mask spacer for sublithographic bitline" and a "Narrow bitline using Safier for mirrorbit." The first patent discloses a technique for forming part of an array of a dual bit memory core. This technique utilizes spacers in the formation process to reduce the size of buried bitlines in memory, which is suitable for storing data in computers. The narrower bitlines facilitate increased packing densities while maintaining an effective channel length between them. This separation allows dual bits stored above the channel within a charge trapping layer to remain sufficiently separated, preventing interference during operations such as read, write, or erase. Additionally, this method mitigates leakage currents and cross talk, ensuring the memory device operates as intended.
The second patent also focuses on forming part of a dual bit memory core, utilizing Safier material to achieve similar benefits as the first patent. The innovations in both patents aim to enhance the performance and reliability of memory devices.
Career Highlights
Taraneh Jamali-Beh is currently employed at Advanced Micro Devices Corporation, where she continues to develop cutting-edge technologies in memory systems. Her work has positioned her as a key player in the advancement of memory technology.
Collaborations
Some of her notable coworkers include Tazrien Kamal and Weidong Qian, with whom she collaborates on various projects within the company.
Conclusion
Taraneh Jamali-Beh's contributions to memory technology through her innovative patents demonstrate her expertise and commitment to advancing the field. Her work continues to influence the development of efficient memory systems in computing.