Regulating WORM/Flash electrical memory behavior of metallopolymers through varying metal centers

Wang, Kai; Cheng, Xiaozhe; Xia, Weizhen; Lian, Hong; Dou, Zhitao; Zhang, Yue; Yao, Lingling; Xue, Haibin; Qu, Yongquan; Dong, Qingchen

doi:10.1016/j.jorganchem.2022.122563

Cited by 2 publications

(4 citation statements)

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“…The synthetic procedure and chemical structures of two newly designed metallopolymers are depicted in Figure S1. The intermediate (L1-TMS) was prepared using a previously reported method . Subsequently, ligands L1-H and L1-M were obtained through protodesilylation and metal complexation, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Inspired by biological processes such as photosynthesis and the transport and storage of oxygen by hemoporphyrin molecules, our previous report on four new metal polymers found that, without metal ions in the porphyrin rings, devices displayed nonvolatile binary WORM memory. 33 This demonstrates the feasibility of regulating metallopolymer memory behaviors by changing the central metal ions, highlighting the importance of metal complexes in organic memristors.…”

Section: ■ Introductionmentioning

confidence: 83%

“…The intermediate (L1-TMS) was prepared using a previously reported method. 33 Subsequently, ligands L1-H and L1-M were obtained through protodesilylation and metal complexation, respectively. These derivatives were then coupled with Pt precursors via the Sonogashira coupling reaction, resulting in the formation of metallopolymers P-Cu and P-Zn, respectively.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Porphyrins, recognized as crucial planar π-conjugated compounds, find extensive utility in organic optoelectronic devices. , The characteristic structure of porphyrin rings offers a diverse array of interactions, including hydrogen bonding, π–π stacking, metal–ligand coordination, etc. Inspired by biological processes such as photosynthesis and the transport and storage of oxygen by hemoporphyrin molecules, our previous report on four new metal polymers found that, without metal ions in the porphyrin rings, devices displayed nonvolatile binary WORM memory . This demonstrates the feasibility of regulating metallopolymer memory behaviors by changing the central metal ions, highlighting the importance of metal complexes in organic memristors.…”

Section: Introductionmentioning

confidence: 99%

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Metallopolymeric Memristor Based Artificial Optoelectronic Synapse for Neuromorphic Computing

Cheng,

Qin,

Guo

et al. 2024

ACS Appl. Electron. Mater.

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Mimicking the human brain to achieve neuromorphic computing holds promise in the field of artificial intelligence (AI). Optoelectronic synapses are regarded as the crucial foundation stone in neuromorphic computing due to their capability to intelligently process optoelectronic input signals. Herein, two donor–acceptor (D–A)-type metallopolymers, P-Cu and P-Zn, containing porphyrin moieties are designed and synthesized, which are utilized as a resistive switching layer for preparation of memristors. The resulting memristors exhibit significantly enhanced electrical characteristics, displaying a high ON/OFF ratio, a low threshold voltage (V th), and superior cycle-to-cycle reproducibility. This enhancement is attributed to the formation and dissociation of charge transfer (CT) states induced by inserted metal ions. Importantly, the P-Cu-based memristor demonstrates the capability to co-modulate optoelectronic signals, effectively emulating versatile synaptic functions of the nervous system. These functions include excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), short-term plasticity (STP), long-term plasticity (LTP), transition from short-term memory (STM) to long-term memory (LTM), and learning-experience behavior. Moreover, multiple Boolean logical functions were successfully implemented using the paired stimuli of electrical pulses. The neuromorphic computing function was also proven through pattern recognition, achieving a recognition rate of up to 86.08% for handwritten digits. This study offers a potent approach for developing multifunctional artificial synaptic devices and artificial neural network platforms and opens up the innovative application of metallopolymers in the fields of optoelectronics and AI.

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Section: Resultsmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 83%

Section: ■ Introductionmentioning

confidence: 99%