skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Optoelectronic synapse using monolayer MoS2 field effect transistors
Abstract Optical data sensing, processing and visual memory are fundamental requirements for artificial intelligence and robotics with autonomous navigation. Traditionally, imaging has been kept separate from the pattern recognition circuitry. Optoelectronic synapses hold the special potential of integrating these two fields into a single layer, where a single device can record optical data, convert it into a conductance state and store it for learning and pattern recognition, similar to the optic nerve in human eye. In this work, the trapping and de-trapping of photogenerated carriers in the MoS 2 /SiO 2 interface of a n-channel MoS 2 transistor was employed to emulate the optoelectronic synapse characteristics. The monolayer MoS 2 field effect transistor (FET) exhibits photo-induced short-term and long-term potentiation, electrically driven long-term depression, paired pulse facilitation (PPF), spike time dependent plasticity, which are necessary synaptic characteristics. Moreover, the device’s ability to retain its conductance state can be modulated by the gate voltage, making the device behave as a photodetector for positive gate voltages and an optoelectronic synapse at negative gate voltages.  more » « less
Award ID(s):
1845331
PAR ID:
10211260
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Scientific Reports
Volume:
10
Issue:
1
ISSN:
2045-2322
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. It is a challenging task to fabricate thermally stable Photodetectors (PDs) working in visible light spectrum range due to the degradation in photoresponse characteristics. Herein, excellent performance parameters with photoresponsivity reached up to as high as 50 AW -1 , and ultrahigh specific detectivity in excess of 2.3×10 12 Jones have been obtained simultaneously in a single photodetector based on vertical MoS 2 (v-MoS 2 ) at a high temperature of 200°C. The TiO 2 interlay layer is ascribed as the main factor to enhance the PDs performances by reducing lattice mismatch between v-MoS 2 and substrate, separating photogenerated electron-hole pairs (EHPs), and the formation of the vertical MoS 2 nanostructures. Besides, the optoelectronics performances of the v-MoS 2 /TiO 2 heterostructures based field-effect transistor (FET) have also been examined under various operating temperatures, and the mechanism on how gate voltages affect the PDs performances has also been studied. In a word, the present fabricated v-MoS 2 /TiO 2 heterostructures based FET PDs will find practical applications in high-temperature environment. 
    more » « less
  2. Low InP/dielectric interface trap density Dit will enable low subthreshold swings (SS) in mm-wave MOSFETs [1] using InGaAs/InP composite channels [2] for increased breakdown and in tunnel FETs (TFETs) [3] using InAs/InP heterojunctions [4] for increased tunneling probability. Reducing Dit at the etched InP mesa edges of DHBTs and avalanche photodiodes will reduce leakage currents and increase breakdown voltages. While it can be difficult [5] to extract Dit of III-V interfaces from MOSCAP characteristics, Dit can be readily determined from the SS of long gate length Lg MOSFETs. Here we report InP-channel MOSFETs with record low SS indicating record low Dit at the semiconductor-dielectric interface. The devices use a AlOxNy/ZrO2 gate dielectric and a 14nm channel thickness Tch. A sample of 13 MOSFETs at 2 m Lg shows SS=70mV/dec. (mean) ±3 mV/dec. (standard deviation), corresponding to a minimum Dit ~3×1012 cm-2eV-1. The lowest SS observed at 2 m Lg is 66 mV/dec. The results suggest that wide-bandgap InP layers can be incorporated into MOS device designs without large degradations in DC characteristics arising from interface defects 
    more » « less
  3. Abstract 2D layered semiconductors have attracted considerable attention for beyond‐Si complementary metal‐oxide‐semiconductor (CMOS) technologies. They can be prepared into ultrathin channel materials toward ultrascaled device architectures, including double‐gate field‐effect‐transistors (DGFETs). This work presents an experimental analysis of DGFETs constructed from chemical vapor deposition (CVD)‐grown monolayer (1L) molybdenum disulfide (MoS2) with atomic layer deposition (ALD) of hafnium oxide (HfO2) high‐k gate dielectrics (top and bottom). This extends beyond previous studies of DGFETs based mostly on exfoliated (few‐nm thick) MoS2flakes, and advances toward large‐area wafer‐scale processing. Here, significant improvements in performance are obtained with DGFETs (i.e., improvements in ON/OFF ratio, ON‐state current, sub‐threshold swing, etc.) compared to single top‐gate FETs. In addition to multi‐gate device architectures (e.g., DGFETs), the scaling of the equivalent oxide thickness (EOT) is crucial toward improved electrostatics required for next‐generation transistors. However, the impact of EOT scaling on the characteristics of CVD‐grown MoS2DGFETs remains largely unexplored. Thus, this work studies the impact of EOT scaling on subthreshold swing (SS) and gate hysteresis using current–voltage (I–V) measurements with varying sweep rates. The experimental analysis and results elucidate the basic mechanisms responsible for improvements in CVD‐grown 1L‐MoS2DGFETs compared to standard top‐gate FETs. 
    more » « less
  4. Abstract Metal‐semiconductor heterostructures providing geometrically reproducible and abrupt Schottky nanojunctions are highly anticipated for the realization of emerging electronic technologies. This specifically holds for reconfigurable field‐effect transistors, capable of dynamically altering the operation mode between n‐ or p‐type even during run‐time. Targeting the enhancement of fabrication reproducibility and electrical balancing between operation modes, here a nanoscale Al‐Si‐Al nanowire heterostructure with single elementary, monocrystalline Al leads and sharp Schottky junctions is implemented. Utilizing a three top‐gate architecture, reconfiguration on transistor level is enabled. Having devised symmetric on‐currents as well as threshold voltages for n‐ and p‐type operation as a necessary requirement to exploit complementary reconfigurable circuits, selected implementations of logic gates such as inverters and combinational wired‐AND gates are reported. In this respect, exploiting the advantages of the proposed multi‐gate transistor architecture and offering additional logical inputs, the device functionality can be expanded by transforming a single transistor into a logic gate. Importantly, the demonstrated Al‐Si material system and thereof shown logic gates show high compatibility with state‐of‐the‐art complementary metal‐oxide semiconductor technology. Additionally, exploiting reconfiguration at the device level, this platform may pave the way for future adaptive computing systems with low‐power consumption and reduced footprint, enabling novel circuit paradigms. 
    more » « less
  5. Abstract In neuromorphic computing, artificial synapses provide a multi‐weight (MW) conductance state that is set based on inputs from neurons, analogous to the brain. Herein, artificial synapses based on magnetic materials that use a magnetic tunnel junction (MTJ) and a magnetic domain wall (DW) are explored. By fabricating lithographic notches in a DW track underneath a single MTJ, 3–5 stable resistance states that can be repeatably controlled electrically using spin‐orbit torque are achieved. The effect of geometry on the synapse behavior is explored, showing that a trapezoidal device has asymmetric weight updates with high controllability, while a rectangular device has higher stochasticity, but with stable resistance levels. The device data is input into neuromorphic computing simulators to show the usefulness of application‐specific synaptic functions. Implementing an artificial neural network (NN) applied to streamed Fashion‐MNIST data, the trapezoidal magnetic synapse can be used as a metaplastic function for efficient online learning. Implementing a convolutional NN for CIFAR‐100 image recognition, the rectangular magnetic synapse achieves near‐ideal inference accuracy, due to the stability of its resistance levels. This work shows MW magnetic synapses are a feasible technology for neuromorphic computing and provides design guidelines for emerging artificial synapse technologies. 
    more » « less