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Hybrid 2D-CMOS microchips for memristive applications.
Kaichen Zhu1, Sebastian Pazos1, Fernando Aguirre1
1Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Nature
|March 27, 2023
Summary
This study fabricates high-density 2D-CMOS hybrid microchips using hexagonal boron nitride for advanced memristive applications. The new devices enable in-memory computing and spiking neural network implementation with high endurance.
Area of Science:
- Materials Science
- Electrical Engineering
- Nanotechnology
Background:
- Advanced electronic circuits rely on two-dimensional (2D) materials, but integration challenges limit device density and functionality.
- Previous research focused on large, isolated 2D devices, hindering practical applications due to low yield and variability.
- Monolayer 2D materials on silicon face challenges like pinholes and cracks, limiting integration density and computational demonstrations.
Purpose of the Study:
- To develop high-integration-density 2D-CMOS hybrid microchips for memristive applications.
- To overcome limitations of previous 2D material integration methods.
- To demonstrate the potential of these hybrid chips for in-memory computation and neuromorphic applications.
Main Methods:
- Fabrication of 2D-CMOS hybrid microchips by transferring multilayer hexagonal boron nitride onto silicon microchips with 180nm CMOS transistors.
- Integration of CMOS transistors for precise current control in hexagonal boron nitride memristors.
- Patterning of top electrodes and interconnections to finalize the hybrid circuits.
Main Results:
- Achieved high integration density of 2D memristors down to 0.053 µm² with an endurance of approximately 5 million cycles.
- Demonstrated in-memory computation through the construction of logic gates.
- Measured spike-timing dependent plasticity signals, suitable for spiking neural networks.
Conclusions:
- The developed 2D-CMOS hybrid microchips offer high performance and a high technology readiness level.
- This work represents a significant advancement towards integrating 2D materials into microelectronic products and memristive devices.
- The technology enables practical in-memory computing and paves the way for future neuromorphic hardware.
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