Title :
A memristor-based memory cell with no refresh
Author :
Junsangsri, Pilin ; Jie Han ; Lombardi, Floriana
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
This paper analyzes and improves the performance of a hybrid memory cell consisting of a memristor and ambipolar transistors. This work extends a previous design by efficiently biasing the memristor (as controlled by the ambipolar transistors), such that no refresh operation is now required. By utilizing macroscopic models, the features of the cell are characterized for the memory operations and no modification is needed to the cell circuit other than the memristor biasing scheme. A detailed treatment of the memory cell with respect to the new biasing scheme of the memristor is provided. Simulation results show that the proposed memory cell has superior performance compared with the previous memristor-based cell.
Keywords :
memristors; random-access storage; transistor circuits; ambipolar transistors; cell circuit; hybrid memory cell; macroscopic models; memristor biasing scheme; memristor-based memory cell; nonvolatile storage element; Logic gates; Memory management; Memristors; Simulation; Threshold voltage; Transistors; Ambipolar Transistor; Emerging Technology; Memory Cell; Memristor;
Conference_Titel :
Nanotechnology (IEEE-NANO), 2014 IEEE 14th International Conference on
Conference_Location :
Toronto, ON
DOI :
10.1109/NANO.2014.6967951