Small footprint transistor architecture for photoswitching logic and in situ memory

Liu, Chunsen; Chen, Huawei; Hou, Xianghui; Zhang, Heng; Han, Jun; Jiang, Yu‐Gang; Zeng, Xiaoyang; Zhang, David Wei; Zhou, Peng

doi:10.1038/s41565-019-0462-6

Cited by 177 publications

(184 citation statements)

References 21 publications

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“…With a distance of (1.1 ± 0.1) µm between the two contacts, we compute a velocity (1.1-1.6)·10 6 ms -1 . Within the errors, this velocity agrees well with the ballistic group-velocity of the CNTs, 30 and it is significantly below a plasmon velocity. 31,32 The interpretation of a ballistic transport is further corroborated by the variation of t for large V sd [ Fig.…”

supporting

confidence: 76%

“…20 This is in agreement with recent estimations on the ballistic group velocity based on zone folding arguments. 30 Third, the effective mass in the first subband is about two times smaller than in the second subband. A diffusive transport of single-particle excitations would give a correspondingly shorter escape time and therefore, an increased apparent transport velocity.…”

mentioning

confidence: 92%

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Ballistic and resonant negative photocurrents in semiconducting carbon nanotubes

et al. 2017

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Ultrafast photocurrent experiments are performed on semiconducting, single-walled carbon nanotubes under a resonant optical excitation of their subbands. The photogenerated excitons are dissociated at large electric fields and the resulting transport of the charge carriers turns out to be ballistic. Thermionic emission processes to the contacts dominate the photocurrent. The charge current without laser excitation is well described by a Fowler-Nordheim tunneling. The time-averaged photocurrent changes polarity as soon as sufficient charge carriers are injected from the contacts, which can be explained by an effective population inversion in the optically pumped subbands.

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supporting

confidence: 76%

mentioning

confidence: 92%

Ballistic and resonant negative photocurrents in semiconducting carbon nanotubes

et al. 2017

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“…The various heterostructures by versatile 2D stacking have enabled the blossom of 2D optoelectronic devices. There is also an emerging of optoelectronic programmed logic elements using the flexible gate coupling in ultrathin thickness [67]. The pathway toward multifunctional 2D devices seems very promising to stimulate indispensable applications based on continuously expanding family of 2D materials.…”

Section: Float Gate Heterostructuresmentioning

confidence: 99%

Emerging Artificial Two-Dimensional van der Waals Heterostructures for Optoelectronics

Ruan¹,

Huang²,

Chen³

et al. 2020

Smart Nanosystems for Biomedicine, Optoelectronics and Catalysis

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Two-dimensional (2D) materials are attracting explosive attention for their intriguing potential in versatile applications, covering optoelectronics, electronics, sensors, etc. An attractive merit of 2D materials is their viable van der Waals (VdW) stacking in artificial sequence, thus forming different atomic arrangements in vertical direction and enabling unprecedented tailoring of material properties and device application. In this chapter, we summarize the latest progress in assembling VdW heterostructures for optoelectronic applications by beginning with the basic pick-transfer method for assembling 2D materials and then discussing the different combination of 2D materials of semiconductor, conductor, and insulator properties for various optoelectronic devices, e.g., photodiode, phototransistors, optical memories, etc.

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“…All-optical logic gates constitute the basic building blocks for ultra-high-speed all-optical chips, as any complex optical logic circuit can be composed of these logic gates. In addition, logic operation sets the foundation for more complex optical signal processing functions, such as addressing 21 , data coding 22 , parity checking 23 and signal extraction 24 . However, current alloptical logic device designs based on linear coherence of signal light or nonlinear interactions still face challenges in realizing reconfigurability and multifunctional operation (implementing multiple logic functions in a single chip) with high speed and low power consumption.…”

Section: Multifarious Logic Gate Operatorsmentioning

confidence: 99%

All-Optical Computing Based on Convolutional Neural Networks

Liao

Chen

et al. 2020

Preprint

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The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-energy-consumption computing. Existing computing instruments are pre-dominantly electronic processors. The scaling of computing speed is limited not only by data transfer between memory and processing units, but also by RC delay associated with integrated circuits. Using photons as information carriers is a promising alternative. Here, we report a strategy to realize ultrafast and ultralow-energy-consumption all-optical computing based on convolutional neural networks, leveraging entirely linear optical interactions. The device is constructed from cascaded silicon Y-shaped waveguides with side-coupled silicon waveguide segments to enable complete phase and amplitude control in each waveguide branch. The generic device concept can be used for equation solving, multifunctional logic operation, Fourier transformation, series expanding and encoding, as well as many other mathematical operations. Multiple computing functions were experimentally demonstrated to validate all-optical computing performances. The time-of-flight of light through the network structure corresponds to an ultrafast computing time of the order of several picoseconds with an ultralow energy consumption of dozens of femtojoules per bit. Our approach can be further expanded to fulfill other complex computing tasks based on non-von Neumann architectures and thus paves a new way for on-chip all-optical computing.

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Small footprint transistor architecture for photoswitching logic and in situ memory

Cited by 177 publications

References 21 publications

Ballistic and resonant negative photocurrents in semiconducting carbon nanotubes

Ballistic and resonant negative photocurrents in semiconducting carbon nanotubes

Emerging Artificial Two-Dimensional van der Waals Heterostructures for Optoelectronics

All-Optical Computing Based on Convolutional Neural Networks

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