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90% yield production of polymer nano-memristor for in-memory computing
Bin Zhang1, Weilin Chen2, Jianmin Zeng3
1Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, China.
Nature Communications
|April 1, 2021
Summary
A new 2D conjugation strategy significantly boosts polymer memristor production yield to 90%. This breakthrough enables reliable, low-power edge computing and neuromorphic applications with enhanced device performance.
Area of Science:
- Materials Science
- Nanotechnology
- Electronics
Background:
- Polymer memristors offer lightweight, flexible solutions for low-power edge computing.
- Structural inhomogeneity in polymers causes unreliable resistive switching, hindering device production and performance.
Purpose of the Study:
- To enhance the production yield and reliability of polymer memristors.
- To develop a strategy for homogeneous switching in polymer memristors for improved device characteristics.
Main Methods:
- Utilized a two-dimensional conjugation strategy by constructing coplanar macromolecules with 2D conjugated thiophene derivatives.
- Enhanced π-π stacking and thin-film crystallinity through molecular design.
Main Results:
- Achieved a record high 90% production yield for polymer memristors.
- Demonstrated homogeneous switching with fast response times (32 ns) and low cycle-to-cycle variation (3.16%–8.29%).
- Achieved scalability to 100 nm with ultra-low power consumption (~10⁻¹⁵ J/bit).
Conclusions:
- The 2D conjugation strategy overcomes polymer inhomogeneity, leading to highly reliable and efficient polymer memristors.
- Developed polymer memristor arrays capable of arithmetic-logic operations and multiply-accumulate acceleration for neuromorphic computing.
