Synthesis of Donor–Acceptor Gridarenes with Tunable Electronic Structures for Synaptic Learning Memristor

Yu, Yang; Bian, Linyi; Zhang, Yang; Liu, Zheng; Li, Yue‐Tian; Zhang, Ren; Ju, Ruolin; Yin, Chengzhu; Yang, Lei; Yi, Moonsuk; Xie, Linghai; Huang, Wei

doi:10.1021/acsomega.9b00172

Cited by 26 publications

(23 citation statements)

References 38 publications

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“…In addition, it is compatible with the solution process that enables facile and scalable fabrication. Therefore, many efforts have been made to fabricate artificial synapses based on organic materials . However, most of them are based on small molecules.…”

mentioning

confidence: 99%

Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses

Han

Guo

et al. 2020

Advanced Intelligent Systems

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In biological synapses, short‐term plasticity is important for computation and signal transmission, whereas long‐term plasticity is essential for memory formation. Comparably, designing a strategy that can easily tune the synaptic plasticity of artificial synapses can benefit constructing an artificial neural system, where synapses with different short‐term plasticity (STP) and long‐term plasticity (LTP) are required. Herein, a strategy is designed that can easily tune the plasticity of crystallized conjugated polymer nanowire‐based synaptic transistors (STs) by low‐temperature solvent engineering. Essential synaptic functions are achieved, such as excitatory postsynaptic current (EPSC), paired‐pulse facilitation (PPF), spike‐frequency‐dependent plasticity (SFDP), spike‐duration‐dependent plasticity (SDDP) and spike‐number‐dependent plasticity (SNDP), and potentiation/depression. The balance between crystallinity and roughness is successfully adjusted by altering solvent compositions, and plasticity of the synaptic device is easily tuned between short term and long term. The evident transition from STP to LTP, good linearity and symmetry of potentiation and depression, and the broad dynamic working range of synaptic weight are achieved. This provides a facile way to tune synaptic plasticity at low temperatures and is applicable to future organic and flexible artificial nervous systems.

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mentioning

confidence: 99%

Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses

Han

Guo

et al. 2020

Advanced Intelligent Systems

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“…It is of great significance to enhance the imitation of artificial synapses in brain computing. [39][40][41] It is necessary to investigate the conduction mechanisms to have a deeper understanding of physical mechanisms. Figure 2g,h is the fitted I-V curves of untreated and UV-treated www.afm-journal.de www.advancedsciencenews.com…”

Section: New Cross-linked Wool Keratin Artificial Synapsesmentioning

confidence: 99%

Flexible and Insoluble Artificial Synapses Based on Chemical Cross‐Linked Wool Keratin

Chen

Lan

Wang

et al. 2020

Adv Funct Materials

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Designing suitable material systems to construct artificial synapses and exploring novel synaptic functions is a crucial step toward the realization of efficient large-scale bioinspired neuromorphic systems. In this work, flexible and insoluble bio-memristor devices are fabricated by precisely engineering the molecular structures of wool keratin. This flexible Ag/ keratin/indium tin oxide-polyethylene naphthalate synaptic device possesses enhanced mechanical resistance, which is achieved by photocross-linking keratin molecules, and can withstand a bending radius of up to 1.2 mm. This device is promising for implantable applications because it is water-resistant. When modulated by triangle-wave DC voltages and pulsed voltages, this flexible electronic device emulates typical memristor characteristics and synaptic functions, including potentiation/depression, spike timing dependent plasticity, and long-term/short-term plasticity. Simulation results indicate that a memristor network made by this woolkeratin based device has ≈95.8% memory learning accuracy and capability for pattern learning. Combined, these features prove that the cross-linked wool-keratin based device has potential in wearable and flexible neuron computing systems.

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“…For the conventional approaches to shape-persistent macrocycles, many synthetic methods have been explored, including intermolecular coupling reaction between monomers, [98][99][100][101][102][103][104] and intramolecular cyclization of long linear precursors. [105][106][107] The former strategy involved just one step reaction, but byproducts with different member rings are inevitable, leading to a tedious separation process and quite low yields (4-6%).…”

Section: Organic Macrocycles Based On Pyrylium Saltsmentioning

confidence: 99%

Over one century after discovery: pyrylium salt chemistry emerging as a powerful approach for the construction of complex macrocycles and metallo-supramolecules

Wang

2020

Chem. Sci.

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Synthesis of Donor–Acceptor Gridarenes with Tunable Electronic Structures for Synaptic Learning Memristor

Cited by 26 publications

References 38 publications

Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses

Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses

Flexible and Insoluble Artificial Synapses Based on Chemical Cross‐Linked Wool Keratin

Over one century after discovery: pyrylium salt chemistry emerging as a powerful approach for the construction of complex macrocycles and metallo-supramolecules

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