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CVD graphene-based IR detectors

Reference number
Coordinator Senseair AB
Funding from Vinnova SEK 950 000
Project duration May 2020 - November 2021
Status Completed
Venture Strategic innovation program SIO Grafen
Call SIO Grafen - Collaboration on commercial graphene applications, spring 2020

Important results from the project

This project aims to develop an effective infrared (IR) detector solution utilizing graphene with designed metal-antennas to be potentially used in gas sensors for automotives. A team coordinated by Senseair AB (part of AKM group) with partners RISE, KTH and Halmstad University has carried out the defined objectives according to the plan regarding the sensor design, fabrication and verifications. revealed good agreement with the simulation. The project outcome has been presented in SIO graphene forum conference on Oct. 20, also by a publication in Sensors 2021, 21, 5203.

Expected long term effects

We have demonstrated IR absorption at designed wavelengths of metal antenna/graphene or graphene/antennas hybrid devices, which is in good agreement with theoretic modelling. High coverage of graphene on the substrates in 4’’ wafer scale after graphene wet transferring process has been achieved, which is confirmed by Raman spectra before and after the graphene transferring process. Good Ohmic behavior revealed by I-V characteristic after graphene transferring on the top of antenna arrays, functioned well as transparent electrodes.

Approach and implementation

The project has been operating in alignment with the planned timeline for all four WPs according to the defined tasks, milestones (M) and deliverables (D). It was benefited by the complementary competence of the partners, as well the good interactions and collaborations between different WPs and partners within the consortium. It is worth to emphasize that the developed graphene process technology can be scaled up to Fab level, as well as be adapted to other electronic and photonic applications.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 14 January 2022

Reference number 2020-00797