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Breakthrough could enable infrared cameras for electronics, self-driving cars

Quantum dots could make technology cheaper, more widely available
There’s an entire world our eyes miss, hidden in the ranges of light wavelengths that human eyes can’t see. But infrared cameras can pick up the secret light emitted as plants photosynthesize, as cool stars burn and batteries get hot. They can see through smoke and fog and plastic.

But infrared cameras are much more expensive than visible-light ones; the energy of infrared light is smaller than visible light, making it harder to capture. A new breakthrough by scientists with the University of Chicago, however, may one day lead to much more cost-effective infrared cameras—which in turn could enable infrared cameras for common consumer electronics like phones, as well as sensors to help autonomous cars see their surroundings more accurately.

“Traditional methods to make infrared cameras are very expensive, both in materials and time, but this method is much faster and offers excellent performance,” said postdoctoral researcher Xin Tang, the first author on a study which appeared Feb. 25 in Nature Photonics.

“That’s why we’re so excited about the potential commercial impact,” said co-author Philippe Guyot-Sionnest, a professor of physics and chemistry.

Today’s infrared cameras are made by successively laying down multiple layers of semiconductors—a tricky and error-prone process that makes them too expensive to go into most consumer electronics.

Guyot-Sionnest’s lab instead turned to quantum dots—tiny nanoparticles just a few nanometers in size. (One nanometer is how much your fingernails grow per second.) At that scale they have odd properties that change depending on their size, which scientists can control by tuning the particle to the right size. In this case, quantum dots can be tuned to pick up wavelengths of infrared light.

This ‘tunability’ is important for cameras, because they need to pick up different parts of the infrared spectrum. “Collecting multiple wavelengths within the infrared gives you more spectral information—it’s like adding color to black-and-white TV,” Tang explained. “Short-wave gives you textural and chemical composition information; mid-wave gives you temperature.”

“Traditional methods to make infrared cameras are very expensive…but this method is much faster and offers excellent performance.”
—Postdoctoral researcher Xin Tang
—Postdoctoral researcher Xin Tang —Postdoctoral researcher Xin Tang
They tweaked the quantum dots so that they had a formula to detect short-wave infrared and one for mid-wave infrared. Then they laid both together on top of a silicon wafer.

The resulting camera performs extremely well and is much easier to produce. “It’s a very simple process,” Tang said. “You take a beaker, inject a solution, inject a second solution, wait five to 10 minutes, and you have a new solution that can be easily fabricated into a functional device.”

There are many potential uses for inexpensive infrared cameras, the scientists said, including autonomous vehicles, which rely on sensors to scan the road and surroundings. Infrared can detect heat signatures from living beings and see through fog or haze, so car engineers would love to include them, but the cost is prohibitive.

They would come in handy for scientists, too. “If I wanted to buy an infrared detector for my laboratory today, it would cost me $25,000 or more,” Guyot-Sionnest said. “But they would be very useful in many disciplines. For example, proteins give off signals in infrared, which a biologist would love to easily track.”

The other authors on the paper were graduate students Matthew Ackerman and Menglu Chen. Matthew Ackerman conceived of the device with Tang and developed the doping strategy for the fabrication of the diodes. The scientists used the Pritzker Nanofabrication Facility at the Institute for Molecular Engineering. Guyot-Sionnest is working with the Polsky Center for Entrepreneurship and Innovation at the University of Chicago to advance this discovery.

Citation: “Dual-band infrared imaging using stacked colloidal quantum dot photodiodes.” Tang et al, Nature Photonics, Feb. 25, 2019. Doi: 10.1038/s41566-019-0362-1

Funding: Army Research Office, National Science Foundation”

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