RE: Nanoco's Future Now Uncertain5 Aug 2024 18:26
Written in May 2024. The Impact of Colloidal QD Science and Technology on the Display Industry..
Section on sensors..
“Sensors based on QD thin-film photodiode devices, which absorb light and generate photocurrent in response, hold value in the market because of their ability to extend the absorption wavelength region of silicon at a low cost. QD photodetector devices can be fabricated on 300-mm silicon complementary metal-oxide semiconductor (CMOS) wafers using spin-coating to create image sensors that absorb light in the shortwave infrared (SWIR) region of the spectrum where silicon stops absorbing. Colloidal QD sensors also provide the ability to sense in the mid-wave infrared (MWIR) quite competitively, and hold promise in leveraging their ability to sense in multiple bands that extend from the UV all the way through the visible, near infrared (NIR), and into the short-wave infrared (SWIR) all with the same sensor. As the value proposition for SWIR imaging and light detection evolves, QD sensor technology is well positioned to enable the broad adoption of SWIR sensing in applications where low-cost and large volumes are required.
Current image sensor technology leverages the use of silicon (Si) CMOS to drive QD sensor pixels. This means that cost will be constrained by the size of a Si wafer used to make devices, which today is only 300 mm (maximum). This could increase in the future, but the real value of leveraging solution-processable colloidal QD technology to make sensors and other optoelectronic devices is by fabricating them on meters-squared areas. Accomplishing this may require a move from Si wafer-based CMOS to colloidal QD, organic electronics, or other large-area and low-cost thin-film electronic technologies on foil, plastic, or glass to drive sensor arrays. When fabricated over meters squared, the cost will dramatically decrease. Larger-area sensor arrays can be leveraged for future applications in displays and human-machine interfaces, where all sensing modalities can be built into a single sensor array using lens-less sensing with the help of AI to create images and to process useful data captured over a large area.“
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https://sid.onlinelibrary.wiley.com/doi/10.1002/msid.1483