A bio-inspired electronic synapse using solution processable organic small molecule

Mao, Jing‐Yu; Zhou, Li; Ren, Yi; Yang, Jiaqin; Chang, Chih‐Li; Lin, Heng‐Chuan; Chou, Ho‐Hsiu; Zhang, Shirui; Zhou, Ye; Han, Su‐Ting

doi:10.1039/c8tc05489d

Cited by 66 publications

(40 citation statements)

References 54 publications

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“…Extensive studies have revealed that organic small molecules could be applied as excellent resistive memory materials, attributing to their advantages of low cost, light weight, mechanical flexibility, and ease of processing 47,48,66,70,83‐104 . Many organic small molecules have been reported to exhibit resistive switching characteristics, including the binary and even higher multilevel nature 70,83‐96,105,106 .…”

Section: Organic Small Molecule‐based Materials For Resistive Memorymentioning

confidence: 99%

“…Mao et al recently reported a memory device based on an active material of (bis‐4‐[ N ‐carbazolyl]phenyl)phenylphosphine oxide (BCPO, Figure 6C). 99 The ITO/BCPO/Al device presented high reproducibility, excellent endurance, good thermal stability, and biological synapse mimic ability. Moreover, four‐level distinct resistive states were successfully obtained by gradient adjustment of the CCs from 10 −4 to 10 −1 A (ie, 10 −4 , 10 −3 , 10 −2 , and 10 −1 A, Figure 6D), indicating potential application for multilevel information storage.…”

Section: Organic Small Molecule‐based Materials For Resistive Memorymentioning

confidence: 99%

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Recent advances in organic‐based materials for resistive memory applications

Qian

Zhu

et al. 2020

InfoMat

159

142

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With the rapid development of data‐driven human interaction, advanced data‐storage technologies with lower power consumption, larger storage capacity, faster switching speed, and higher integration density have become the goals of future memory electronics. Nevertheless, the physical limitations of conventional Si‐based binary storage systems lag far behind the ultrahigh‐density requirements of post‐Moore information storage. In this regard, the pursuit of alternatives and/or supplements to the existing storage technology has come to the forefront. Recently, organic‐based resistive memory materials have emerged as promising candidates for next‐generation information storage applications, which provide new possibilities of realizing high‐performance organic electronics. Herein, the memory device structure, switching types, mechanisms, and recent advances in organic resistive memory materials are reviewed. In particular, their potential of fulfilling multilevel storage is summarized. Besides, the present challenges and future prospects confronted by organic resistive memory materials and devices are discussed.

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Section: Organic Small Molecule‐based Materials For Resistive Memorymentioning

confidence: 99%

Section: Organic Small Molecule‐based Materials For Resistive Memorymentioning

confidence: 99%

Recent advances in organic‐based materials for resistive memory applications

Qian

Zhu

et al. 2020

InfoMat

159

142

View full text Add to dashboard Cite

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“…Hardware implementation aims to construct artificial neurons networks by using electronic devices. Since synapses are the functional connections of neurons and serve as the basic units of computing and learning, designing physical synaptic devices that exhibit synaptic behaviors is the key step to build brain‐like computers . In the past few decades, silicon‐based complementary metal‐oxide semiconductor (CMOS) analogue circuits have been proposed to simulate the synaptic functions .…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Transistor‐Based Artificial Synapses

Dai

Zhao

Wang

et al. 2019

Adv Funct Materials

474

422

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Simulating biological synapses with electronic devices is a re-emerging field of research. It is widely recognized as the first step in hardware building brain-like computers and artificial intelligent systems. Thus far, different types of electronic devices have been proposed to mimic synaptic functions. Among them, transistor-based artificial synapses have the advantages of good stability, relatively controllable testing parameters, clear operation mechanism, and can be constructed from a variety of materials. In addition, they can perform concurrent learning, in which synaptic weight update can be performed without interrupting the signal transmission process. Synergistic control of one device can also be implemented in a transistor-based artificial synapse, which opens up the possibility of developing robust neuron networks with significantly fewer neural elements. These unique features of transistor-based artificial synapses make them more suitable for emulating synaptic functions than other types of devices. However, the development of transistor-based artificial synapses is still in its very early stages. Herein, this article presents a review of recent advances in transistor-based artificial synapses in order to give a guideline for future implementation of synaptic functions with transistors. The main challenges and research directions of transistor-based artificial synapses are also presented.In the nerve system, a synapse is a specialized structure that allows a neuron to pass chemical or electrical signals to another Figure 2. a) Schematic illustration (top) and microscopy image (bottom) of flexible synaptic transistors based on a random matrix of semiconducting CNTs. b) Case 1: the amplitudes of V LTP and V LTP are greater than other cases; thus, NL is the highest and ΔG is the largest. c) Case 2: the amplitudes of V LTP and V LTP are smaller than in case 1; thus, NL and ΔG are lower. d) Case 3: if the CNT transistor without the Au floating gate is used for the synaptic transistor, NL and ΔG are considerably smaller than in the other cases due to the limited charge storage space. Reproduced with permission. [87]

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“…It also enables efficient photoinduced charge transfer, charge separation and bipolar charge transport materials for light‐emitting diodes, lasers and other applications . Molecules comprising of electron donor (D) unit and an electron acceptor (A) unit have been recognized as high‐performance materials in optoelectronic applications, such as organic light emitting diodes (OLED), organic solar cells (OSC) and organic photovoltaics (OPV) …”

Section: Introductionmentioning

confidence: 99%

Synthesis of Phenanthro[9,10‐d]imidazoles and their Potential Applications in Solution Processable Bottom‐Gated OFETs

et al. 2020

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Phenanthro[9,imidazole is synthesized by employing Radziszewski method and further functionalized through palladium catalyzed Suzuki cross-coupling reaction. Solution processable organic field-effect transistors (OFETs) are assembled in bottom gate-top contact architecture. A binary solvent system comprising of chloroform/toluene in the ratio of 1/1 is preferred for the deposition of active semiconducting layer. The fabricated devices demonstrated excellent p-type characteristics with a good mobility, high ON/OFF ratio of 10 9 and a minimum threshold voltage of À 4.5 V. Computational investigations indicted proper charge separation of the energy levels for the phenanthro[9,10-d] imidazole containing nitro group. Frontier molecular orbitals and the packing patterns obtained from computational studies suggest an efficient band gap for better device operation. The ordered morphologies of the molecules obtained from SEM analysis prove to be beneficial in the OFET performance. The photophysical, electrochemical and thermal properties of the molecules are studied in detail. The research work majorly emphasized on structural designing of the phenanthro[9,10-d]imidazoles for potential applications in organic devices.

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A bio-inspired electronic synapse using solution processable organic small molecule

Abstract: A trap-mediated solution-processed small molecule based artificial synaptic device is presented. This work reveals great potential for a small molecule based artificial synapse to serve in neuromorphic computing.

Cited by 66 publications

References 54 publications

Recent advances in organic‐based materials for resistive memory applications

Recent advances in organic‐based materials for resistive memory applications

Recent Advances in Transistor‐Based Artificial Synapses

Synthesis of Phenanthro[9,10‐d]imidazoles and their Potential Applications in Solution Processable Bottom‐Gated OFETs

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