Fundamentals and applications of mixed-dimensional heterostructures

Duan, Xiangfeng; Hersam, Mark C.; Kim, Jeehwan

doi:10.1063/5.0097804

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…To harness light-matter interaction in 2D material transition metal dichalcogenides (TMDCs) 6 , 7 they’re combined with NPs via different approaches including drop-casting 8 , dip-coating 9 , 10 , atomic layer deposition 11 , 12 , self-assembled layer 13 , 14 , and spontaneous redox reaction 15 . Yielding with mixed-dimensional heterostructures 16 , hybrid materials 17 , and heterojunctions 18 that have been effectively employed for various applications ranging from hydrogen evolution reaction (HER) to light-emitting diodes and sensors 19 – 25 . For example, molybdenum disulfide (MoS 2 ) with deposited Au@Ag co-shell nanorattles attenuated overpotential and reduced Tafel slope for the HER due to plasmonic hot electron photocatalysis tuned by laser power and wavelength 26 .…”

Section: Introductionmentioning

confidence: 99%

Photoinduced edge-specific nanoparticle decoration of two-dimensional tungsten diselenide nanoribbons

Murastov,

Aslam,

Tran

et al. 2023

Commun Chem

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Metallic nanoparticles are widely explored for boosting light-matter coupling, optoelectronic response, and improving photocatalytic performance of two-dimensional (2D) materials. However, the target area is restricted to either top or bottom of the 2D flakes. Here, we introduce an approach for edge-specific nanoparticle decoration via light-assisted reduction of silver ions and merging of silver seeds. We observe arrays of the self-limited in size silver nanoparticles along tungsten diselenide WSe2 nanoribbon edges. The density of nanoparticles is tunable by adjusting the laser fluence. Scanning electron microscopy, atomic force microscopy, and Raman spectroscopy are used to investigate the size, distribution, and photo-response of the deposited plasmonic nanoparticles on the quasi-one-dimensional nanoribbons. We report an on-surface synthesis path for creating mixed-dimensional heterostructures and heterojunctions with potential applications in opto-electronics, plasmonics, and catalysis, offering improved light matter coupling, optoelectronics response, and photocatalytic performance of 2D materials.

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Section: Introductionmentioning

confidence: 99%

Photoinduced edge-specific nanoparticle decoration of two-dimensional tungsten diselenide nanoribbons

Murastov,

Aslam,

Tran

et al. 2023

Commun Chem

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“…[3] For continued miniaturization, various innovations in materials and device designs, such as emerging nanomaterials, fin field-effect transistors, and gate-all-around field-effect transistors, are being actively researched. [4][5][6][7][8][9][10] Similar to the development trend in traditional electronics, downsizing individual nodes in artificial neural networks (ANNs), which are designed to mimic the cortical neural network of the human brain, is imperative for the progress of advanced artificial intelligence hardware. [11,12] This is because a densely packed neural network can substantially amplify the learning, recognition, and prediction capabilities of a system.…”

Section: Introductionmentioning

confidence: 99%

“…[ 3 ] For continued miniaturization, various innovations in materials and device designs, such as emerging nanomaterials, fin field‐effect transistors, and gate‐all‐around field‐effect transistors, are being actively researched. [ 4–10 ]…”

Section: Introductionmentioning

confidence: 99%

Tilt‐Engineered Molecular‐Scale Selector for Enhanced Learning in Artificial Neural Networks

Eo,

Shin,

Jeon

et al. 2023

Adv Funct Materials

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Miniaturization of individual selectors in crossbar‐array‐based artificial neural networks is essential for the advancement of the underlying neuromorphic electronics, as it improves learning, recognition, and prediction accuracies. This study proposes a tilt‐engineered molecular‐scale selector comprising a heterostructure of biphenyl‐4‐thiol (OPT2) or 1‐octanethiol (C8) molecular layers and an n‐type two‐dimensional MoS2 monolayer (1L‐MoS2) at an approximate contact radius of 3 nm, which is evaluated via conductive atomic force microscopy under various tip‐loading forces. The molecular tilt configuration controlled by the tip‐loading force is used as a rectifying engineer for the OPT2/1L‐MoS2 and C8/1L‐MoS2 heterojunction accuracies. Rectification ratios and conductance levels are significantly influenced by the molecular backbones and tilt angle. The proposed tilt‐engineered selector can aid in controlling undesired neural signals affecting vector–matrix multiplications and adjusting the switching range compatibility of an integrated synaptic device cell, significantly influencing the pattern recognition accuracy. By controlling the tilt angle, the recognition accuracy on the MNIST dataset increases from 78.65% to 86.45% and from 7.74% to 86.09% when using the OPT2/1L‐MoS2 and C8/1L‐MoS2 selector, respectively. The proposed molecular tilt configuration can be used for developing customized molecular‐scale selectors for crossbar‐array‐based artificial neural networks to improve learning while suppressing undesired neural signals.

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Learning‐Effective Mixed‐Dimensional Halide Perovskite QD Synaptic Array for Self‐Rectifying and Luminous Artificial Neural Networks

Park,

Wang

2023

Adv Funct Materials

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A mixed‐dimensional heterostructure comprising nanomaterials with varying dimensions provides a promising structure for an artificial synapse for reconfigurable neuromorphic functions. In this study, an 8 × 8 memristor crossbar array based on a mixed‐dimensional heterostructure comprising Cs1−xFAxPbBr3 (0.00 ≤ x ≤ 0.15) quantum dots (QDs) and different dimensional interfacial nanomaterial layers between the Al and ITO electrodes is designed and fabricated. This array device exhibits a high yield and reliable self‐rectifying analog switching characteristics with low synaptic‐coupling (SC, up to 5.19 × 10−5) and light emission, facilitating stimuli response visualization and preventing undesired pathways in the network array. Furthermore, because the formamidinium (FA) concentration alters the QD size, thereby engineering interfacial band alignment in the heterostructure, the essential synaptic properties such as dynamic range, SC, and nonlinearity can be improved. Especially, as x increases from 0 to 0.11, the recognition accuracy for the MNIST patterns increases significantly, from 68.97% to 89.08%, even for single‐layer ANNs. The energy consumption required for a specific accuracy level is reduced by a factor of 25.15. The utilization of mixed‐dimensional perovskite QD‐based heterostructures in neural networks may provide desirable neuromorphic electronic functions with enhanced learning capability and energy efficiency, while preventing unwanted neural signals.

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Fundamentals and applications of mixed-dimensional heterostructures

Cited by 5 publications

References 22 publications

Photoinduced edge-specific nanoparticle decoration of two-dimensional tungsten diselenide nanoribbons

Photoinduced edge-specific nanoparticle decoration of two-dimensional tungsten diselenide nanoribbons

Tilt‐Engineered Molecular‐Scale Selector for Enhanced Learning in Artificial Neural Networks

Learning‐Effective Mixed‐Dimensional Halide Perovskite QD Synaptic Array for Self‐Rectifying and Luminous Artificial Neural Networks

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