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Building Uniformly Structured Polymer Memristors via a 2D Conjugation Strategy for Neuromorphic Computing
Jinyong Li1, Fei Fan2, Xin Fu1
1Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Macromolecular Rapid Communications
|April 17, 2024
Summary
Researchers developed a novel polymer memristor using PBDTT-BPQTPA, enhancing charge transport for reliable artificial computing. This breakthrough advances neuromorphic systems with efficient memory and logic operations.
Area of Science:
- Materials Science
- Organic Electronics
- Neuromorphic Computing
Background:
- Polymer memristors are key for next-gen computing but suffer from erratic switching due to polymer heterogeneity.
- This leads to lower yields and reliability issues in organic polymer memristors.
Purpose of the Study:
- To synthesize and characterize a novel 2D conjugated polymer, PBDTT-BPQTPA, for improved memristor performance.
- To investigate the memristive properties and neuromorphic computing capabilities of the fabricated polymer memristor.
Main Methods:
- Synthesized PBDTT-BPQTPA by integrating BDTT (electron-donating) and a quinoxaline derivative (electron-accepting) units.
- Incorporated triphenylamine groups to enhance polymer conjugation and planarity for efficient charge transport.
- Fabricated Al/PBDTT-BPQTPA/ITO memristors and tested their resistive switching behavior.
Main Results:
- The PBDTT-BPQTPA memristor exhibited non-volatile resistive switching at high voltages and history-dependent behavior at low voltages.
- Demonstrated simulation of synaptic functions (enhancement/inhibition), learning algorithms, and memory operations.
- Showcased capability for executing logical operations and performing decimal calculations.
Conclusions:
- The novel PBDTT-BPQTPA polymer offers a promising solution to overcome reliability issues in polymer memristors.
- The developed memristor shows significant potential for advancing artificial neuromorphic computing systems.
- This work paves the way for more efficient and reliable organic electronic devices for advanced computation.
