In their paper published in the journal Nature Photonics they combine this graphene-CMOS device with quantum dots to create an array of photodetectors, producing a high resolution image sensor. When used as a digital camera this device is able to sense UV, visible and infrared light at the same time. This is just one example of how this device might be used, others include in microelectronics, sensor arrays and low-power photonics.
“The development of this monolithic CMOS-based image sensor represents a milestone for low-cost, high-resolution broadband and hyperspectral imaging systems” ICREA Professor at ICFO, Frank Koppens, highlights. He assures that “in general, graphene-CMOS technology will enable a vast amount of applications, that range from safety, security, low cost pocket and smartphone cameras, fire control systems, passive night vision and night surveillance cameras, automotive sensor systems, medical imaging applications, food and pharmaceutical inspection to environmental monitoring, to name a few”.
By creating a hybrid graphene and quantum dot system on a CMOS wafer using a layering and patterning approach, the Flagship team solved a complex problem with a simple solution. First the graphene is deposited, then patterned to define the pixel shape and finally a layer of PbS colloidal quantum dots is added. The photoresponse of this system is based on a photogating effect, which starts as the quantum dot layer absorbs light and transfers it as photo-generated holes or electrons to the graphene, where they circulate due to a bias voltage applied between two pixel contacts. The photo signal is then sensed by the change in conductivity of the graphene, with graphene’s high charge mobility allowing for the high sensitivity of the device.
As Stijn Goossens comments, “No complex material processing or growth processes were required to achieve this graphene-quantum dot CMOS image sensor. It proved easy and cheap to fabricate at room temperature and under ambient conditions, which signifies a considerable decrease in production costs. Even more, because of its properties, it can be easily integrated on flexible substrates as well as CMOS-type integrated circuits.”
The commercial applications of this research and the potential for imaging and sensing technology are now being explored in ICFO’s Launchpad incubator.
Professor Andrea Ferrari, Science and Technology Officer and Chair of the Management Panel of the Graphene Flagship added: “The integration of graphene with CMOS technology is a cornerstone for the future implementation of graphene in consumer electronics. This work is a key first step, clearly demonstrating the feasibility of this approach. The Flagship has put a significant investment in the system level integration of graphene, and this will increase as we move along the technology and innovation roadmap”.
Integrated circuits based on complementary metal-oxide–semiconductors (CMOS) are at the heart of the technological revolution of the past 40 years, enabling compact and low-cost microelectronic circuits and imaging systems. However, the diversification of this platform into applications other than microcircuits and visible-light cameras has been impeded by the difficulty to combine semiconductors other than silicon with CMOS. Here, we report the monolithic integration of a CMOS integrated circuit with graphene, operating as a high-mobility phototransistor. We demonstrate a high-resolution, broadband image sensor and operate it as a digital camera that is sensitive to ultraviolet, visible and infrared light (300–2,000 nm). The demonstrated graphene–CMOS integration is pivotal for incorporating 2D materials into the next-generation microelectronics, sensor arrays, low-power integrated photonics and CMOS imaging systems covering visible, infrared and terahertz frequencies.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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