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Realization of Minimum and Maximum Gate Function in Ta2O5-based Memristive Devices.

Thomas Breuer^1,2, Lutz Nielen^3,2, Bernd Roesgen^1,2

¹Peter Grünberg Institut 7, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.

Scientific Reports

|April 6, 2016

Summary

Researchers implemented fuzzy logic gates using resistive switching memory (ReRAM) devices for analog computing. These Ta2O5-based ReRAM fuzzy logic gates enable Minimum and Maximum operations, advancing logic-in-memory applications.

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Area of Science:

Materials Science
Electrical Engineering
Computer Science

Background:

Resistive switching memory (ReRAM) devices are crucial for non-volatile memory and logic.
Enhanced ReRAM functionality can unlock novel hardware concepts like logic-in-memory and neuromorphic computing.

Purpose of the Study:

To demonstrate ReRAM-based fuzzy logic gates for analog Minimum and Maximum operations.
To investigate the feasibility of using Ta2O5 devices for fuzzy logic implementation.

Main Methods:

Implementation of fuzzy logic gates using two anti-serially connected Ta2O5 ReRAM cells.
Verification of gate functionality with exemplary input signals.
Analysis of cell endurance up to 10^6 cycles.

Main Results:

Successful demonstration of ReRAM-based fuzzy logic gates performing Minimum and Maximum operations.
Characterization of device performance and identification of signal constraints.
Achieved endurance of up to 10^6 cycles for the ReRAM cells.

Conclusions:

ReRAM devices can be effectively utilized to build fuzzy logic gates for analog computing.
This approach shows potential for enhancing the efficiency of analog processing tasks, such as sorting networks.
The developed ReRAM fuzzy logic gates pave the way for more efficient logic-in-memory and neuromorphic systems.