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Updated: Jun 23, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
GeTe/MoTe2 Van der Waals Heterostructures: Enabling Ultralow Voltage Memristors for Nonvolatile Memory and
Atul C Khot1, Kiran A Nirmal1, Tukaram D Dongale2
1School of Electrical Engineering, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Republic of Korea.
GeTe/MoTe2 heterostructures show promise for next-generation electronics. These semiconducting devices exhibit efficient memristor behavior for nonvolatile memory and neuromorphic computing, using minimal energy.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Nanoelectronics
Background:
- Advanced electronic semiconducting Van der Waals heterostructures (HSs) offer unique properties for next-generation nanoelectronics.
- Exploring novel heterostructures is crucial for advancing memory and computing technologies.
Purpose of the Study:
- To investigate GeTe/MoTe2 heterostructures for nonvolatile memory and neuromorphic computing applications.
- To fabricate and characterize Ag/GeTe/MoTe2/Pt HS cross-point devices for their memristive properties.
Main Methods:
- Fabrication of Ag/GeTe/MoTe2/Pt HS cross-point devices using sputtering.
- Characterization of memristor behavior, including switching voltages, energy consumption, retention, and endurance.
- Analysis using cross-sectional transmission electron microscopy and conductive atomic force microscopy.
- Emulation of synaptic functions and implementation of a multilayer perceptron.
Main Results:
- Devices demonstrated memristor behavior at ultralow switching voltages (VSET: 0.15 V, VRESET: -0.14 V) with low energy consumption (≈30 nJ).
- Achieved high memory window, long retention time (10^4 s), and excellent endurance (10^5 cycles).
- Confirmed the formation of a conducting filament via TEM and C-AFM.
- Successfully emulated synaptic functions and achieved 81.3% pattern accuracy in a multilayer perceptron.
Conclusions:
- GeTe/MoTe2 HS exhibit excellent performance for nonvolatile memory and neuromorphic computing.
- The devices offer a potential solution for energy-efficient, high-density memory and artificial intelligence applications.
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