Switching Dynamics and Conductance Quantization of $Aloe$  Polysaccharides-Based Device

Lim, Zhe Xi; Tayeb, Ilias Ait; Hamid, Zuratul Ain Abdul; Ain, Mohd Fadzil; Hashim, Amin; Abdullah, Jafri Malin; Zhao, Feng; Cheong, Kuan Yew

doi:10.1109/ted.2019.2915106

Cited by 17 publications

(6 citation statements)

References 39 publications

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“…STM can be converted to LTM through a rehearsal learning process. STM and LTM have been widely studied in artificial synaptic devices based on natural organic materials [ 4 , 9 , 14 , 15 , 17 , 27 , 29 , 30 , 31 , 33 , 35 , 36 , 37 , 38 , 39 , 41 , 43 , 56 , 57 ], etc. They were tested by applying consecutive pulses (voltage or light) on the gate electrode of a transistor or one of the electrodes of a memristor as the external stimuli, and the nonvolatile current flow in the device was recorded as the memory level.…”

Section: Synaptic Plasticitymentioning

confidence: 99%

“…Figure 3 a shows the current conduction behaviors of two Aloe polysaccharide memristors [ 9 ] with Ag and Al top electrode, respectively. When 10 pulses of 0.5 V with a uniform pulse width of 200 ms and pulse interval of 20 s were applied on both devices, the current flowing decayed almost instantaneously after each pulse, and the final current level did not increase after 10 pulses, leading to the STM, which was attributed to the weak filament formation by the stimuli.…”

Section: Synaptic Plasticitymentioning

confidence: 99%

“… STM, LTM, and STM-to-LTM transition in synaptic devices based on ( a , b ) Aloe polysaccharide [ 9 ] and ( c , d ) honey [ 17 ] achieved by shortening the time interval between stimulation pulses and ( e , f ) ι-carrageenan [ 27 ] achieved by increasing the pulse number. …”

Section: Figurementioning

confidence: 99%

“…A variety of natural organic materials, mainly protein and carbohydrates such as chitosan [ 3 , 4 , 5 , 6 ], Aloe Vera and polysaccharide [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ], zein from maize [ 14 ], gelatin [ 15 ], honey [ 16 , 17 , 18 , 19 , 20 , 21 , 22 ], lignin [ 23 , 24 ], collagen [ 25 ], trypsin [ 26 ], ι-carrageenan [ 27 , 28 ], dextran [ 29 , 30 ] sodium alginate [ 31 ], wood-derived cellulose nanopapers [ 32 ], biomass-based hydrogel [ 33 ], casein [ 34 ], pectin [ 35 , 36 ], carotene [ 37 ], lipid [ 38 ], natural acidic polyelectrolyte [ 39 ], chicken albumen [ 40 , 41 ], etc., are currently under investigation for making memristor- and transistor-based artificial synaptic devices. These natural organic materials have the advantages of being renewable, sustainable, biodegradable, environmentally friendly, etc., making them an attractive alternative to other inorganic metal oxide and polymer materials [ 42 ] for artificial synaptic devices.…”

Section: Introductionmentioning

confidence: 99%

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Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems

2023

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Natural organic materials such as protein and carbohydrates are abundant in nature, renewable, and biodegradable, desirable for the construction of artificial synaptic devices for emerging neuromorphic computing systems with energy efficient operation and environmentally friendly disposal. These artificial synaptic devices are based on memristors or transistors with the memristive layer or gate dielectric formed by natural organic materials. The fundamental requirement for these synaptic devices is the ability to mimic the memory and learning behaviors of biological synapses. This paper reviews the synaptic functions emulated by a variety of artificial synaptic devices based on natural organic materials and provides a useful guidance for testing and investigating more of such devices.

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Section: Synaptic Plasticitymentioning

confidence: 99%

Section: Synaptic Plasticitymentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems

2023

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“…The fabrication of electronic devices by using biomaterials will lead to the cost-effective, ecofriendly, and sustainable modern world of technology. Recently, various biomolecules such as a polysaccharide, plant-based molecules, carotene, proteins, DNA hexadecyltrimethylammmonium chloride (DNA CTMA), nucleobases, silk, a polypeptide, egg-albumen, and nucleic bases have been employed in RRAM devices that have exhibited significant memory properties. ,,− ,− …”

Section: Introductionmentioning

confidence: 99%

Biomaterial-Based Nonvolatile Resistive Memory Devices toward Ecofriendliness and Biocompatibility

Rehman

Kim

et al. 2021

ACS Appl. Electron. Mater.

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Advancement in electronic industry has revolutionized the lifestyle of mankind at the cost of leaving adverse effects on the environment due to the use of toxic and nondegradable functional materials abundantly used in various electronic devices. The use of biomaterials in electronic devices with attractive properties is by far the best solution for protecting our environment from hazardous materials without compromising the growth of the electronic industry. Biomaterials are environmentally friendly and biocompatible with the added advantages of easy processing, transparency, flexibility, abundant resources, sustainability, recyclability, and simple extraction. This Review targets the characteristics, advancements, role, limitations, and prospects of using biomaterials as the functional layer of a resistive random-access memory (RRAM) device with a primary focus on the electronic properties of bio-RRAMs. Among the available memory devices, RRAMs have a huge potential to become the nonvolatile memory of the next generation owing to their simple structure, high scalability, and low power consumption. Applications of using biomaterial-based RRAMs have also been discussed including mimicking the human brain, fabricating wearable memory devices, and implanting bio-RRAMs. The motivation behind this work is to promote the use of biomaterials in electronic devices and attract researchers toward a green solution of hazardous problems associated with the electronic industry.

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A Natural Organic Artificial Synaptic Device Made from a Honey and Carbon Nanotube Admixture for Neuromorphic Computing

Tanim

Templin

Hood

et al. 2023

Adv Materials Technologies

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Artificial synaptic devices are the essential hardware component in emerging neuromorphic computing systems by mimicking biological synapse and brain functions. When made from natural organic materials such as protein and carbohydrate, they have potential to improve sustainability and reduce electronic waste by enabling environmentally‐friendly disposal. In this paper, a new natural organic memristor based artificial synaptic device is reported with the memristive film processed by a honey and carbon nanotube (CNT) admixture, that is, honey‐CNT memristor. Optical microscopy, scanning electron microscopy, and micro‐Raman spectroscopy are employed to analyze the morphology and chemical structure of the honey‐CNT film. The device demonstrates analog memristive potentiation and depression, with the mechanism governing these functions explained by the formation and dissolution of conductive paths due to the electrochemical metal filaments which are assisted by CNT clusters and bundles in the honey‐CNT film. The honey‐CNT memristor successfully emulates synaptic functionalities such as short‐term plasticity and its transition to long‐term plasticity for memory rehearsal, spatial summation, and shunting inhibition, and for the first time, the classical conditioning behavior for associative learning by mimicking the Pavlov's dog experiment. All these results testify that honey‐CNT memristor based artificial synaptic device is promising for energy‐efficient and eco‐friendly neuromorphic systems.

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Switching Dynamics and Conductance Quantization of $Aloe$ Polysaccharides-Based Device

Cited by 17 publications

References 39 publications

Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems

Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems

Biomaterial-Based Nonvolatile Resistive Memory Devices toward Ecofriendliness and Biocompatibility

A Natural Organic Artificial Synaptic Device Made from a Honey and Carbon Nanotube Admixture for Neuromorphic Computing

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