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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Electromagnetic Interference Effects of Continuous Waves on Memristors: A Simulation Study
Guilei Ma1, Menghua Man1, Yongqiang Zhang1,2
1National Key Laboratory on Electromagnetic Environment Effects, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China.
Sensors (Basel, Switzerland)
|August 12, 2022
Summary
Continuous waves (CWs) impact memristor performance, affecting switching time and dynamic range. This study quantifies these electromagnetic interference (EMI) effects, crucial for designing reliable memristive neuromorphic systems.
Area of Science:
- Electrical Engineering
- Materials Science
- Computer Engineering
Background:
- Memristors are fundamental circuit elements with memory, vital for neuromorphic systems and in-memory computing.
- Increasing electromagnetic interference (EMI) poses a threat to the reliability of memristor-based systems.
- The specific effects of various EMI signals on memristors remain largely uncharacterized.
Purpose of the Study:
- To investigate the interference effects of continuous waves (CWs) on memristors.
- To develop a method for quantifying EMI effects on memristors.
- To provide insights for electromagnetic protection strategies in memristive systems.
Main Methods:
- Utilized a sinusoidal excitation voltage to drive the memristor.
- Employed an optimal memristor model derived through exhaustive parameter traversal.
- Quantified CW interference effects using proposed evaluation metrics.
Main Results:
- CW interference was found to potentially alter memristor switching time, dynamic range, nonlinearity, and symmetry.
- The time to boundary and memristance variation can also be affected by CW interference.
- The specific impact is contingent upon the memristor's operating mode, CW amplitude, and frequency.
Conclusions:
- CW interference significantly affects key memristor characteristics.
- Understanding these effects is essential for the robust design of memristive neuromorphic systems.
- This research lays the groundwork for developing effective electromagnetic shielding for memristor applications.
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