Optoelectronic  devices based on novel materials

Carbon  nanomaterials (e. g., graphene and  carbon nanotubes) attract a great deal of attentions  in optics and optoelectronics due to their  interesting electronic and optical properties. This research scope covers design,  fabrication, and device physics using nanoelectronic materials such as carbon  nanotube and graphene, and other emerging 2D materials.     

Graphene offers broad spectral  bandwidth and fast response times for photodetection applications. However, the  responsivity of bare graphene is limited due to weak absorption and the absence  of gain. By combining large-area CVD grown graphene with atomically  thin SWNT layer, we have formed a quasi-2D all-carbon hybrid film, which  exhibits strikingly enhanced photodetection capabilities such as higher photoconductive  gain, retaining fast response time and an ultra-broadband sensitivity. This hybrid architecture has substantial  implications for fundamental investigation of 1D van der Waals interactions. Remarkably, graphene-SWNT assemblies exhibit extraordinary mechanical flexibility and stretchability,  making them promising candidates for flexible optoelectronics. These results establish  all-carbon hybrid film a highly robust material for practical applications in  large-scale photosensors, flexible solar cells, etc. We are continuing to  develop and enhance the all-carbon hybrids by one-step growth or optimizing  device design for large-scale integration.
With the progress  of artificial intelligence, neuromorphic chips are having more and more  interaction with visual information. In another recent project, different from  the conventional pure electronic implementation, we have developed an optoelectronic  device (that respond directly to light stimuli) to emulate the functions of the  synapses and neurons of the brain. The goal is to use a nanoscale device to  interact with light beams to perform brain-like information processing. In this  optically-driven synapse, both short- and long-term plasticity are emulated. The  capability of spatiotemporal processability and advanced optical spike  processing enable the device to effectively simulate the visual nervous system.  This optical synapse helps to set the stage for more complex photonics-enabled synaptic  functionalities and computing paradigm in the future.

Related  group publications:
Nature Communications 6, 8589 (2015)
Nanoscale 8, 12883 (2016)
Nano Research 10, 1880 (2017)
2D Materials 4, 035022 (2017)
Nano Letters 17, 6391 (2017)
ACS Appl. Mater. Inter. 10, 38326 (2018)
Carbon 146, 486 (2019)



School of Electronic Science and Engineering, Nanjing University
163 Xianlin Avenue, 210023 Nanjing, China

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