• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, March 28, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News

Avalanche photodiode from UVA and UT-Austin breaks performance record for LiDAR receivers

Bioengineer by Bioengineer
May 27, 2020
in Science News
Reading Time: 2 mins read
0
IMAGE
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Team’s fabrication process achieves long-wavelength sensitivity, ultra-low noise and design flexibility

IMAGE

Credit: Joe C. Campbell

Charlottesville, Va. – Electrical and computer engineers at the University of Virginia and University of Texas-Austin have developed an avalanche photodiode that achieved record performance and has the potential to transform next generation night-vision imaging and Light Detection and Ranging (LiDAR) receivers. For LiDAR, the team’s low-noise, two-micrometer avalanche photodiode enables higher-power operation that is eye-safe.

The peer reviewed paper, “Low-noise high-temperature AlInAsSb/GaSb avalanche photodiodes for 2-μm applications,” was published May 18, 2020, in Nature Photonics, a monthly journal of the best research from all areas of light generation, manipulation and detection.

This breakthrough comes from a long-standing collaboration between Joe C. Campbell, Lucien Carr III Professor of electrical and computer engineering at UVA, and Seth R. Bank, Cullen Trust Professor at UT-Austin. Andrew H. Jones, a 2020 Ph.D. graduate advised by Campbell, and Stephen D. March, a Ph.D. student in Bank’s research group, contributed to the research. The team’s work was funded by the Defense Advanced Research Projects Agency and the Army Research Office.

The team used the novel optical and electrical characteristics of a digital alloy created in Bank’s Laboratory for Advanced Semiconductor Epitaxy. Bank employed molecular beam epitaxy to grow the alloy, composed of aluminum, indium, arsenic and antimony. The alloy combines long-wavelength sensitivity, ultra-low noise, and the design flexibility that is needed to achieve low dark currents, which is not available with existing low-noise avalanche photodiode materials technologies.

“Our ability to control the crystal growth process down to the single atom-scale enables us to synthesize crystals that are forbidden in nature, as well as design them to simultaneously possess the ideal combination of fundamental material properties necessary for efficient photodetection,” Bank said.

The team’s avalanche photodiode is an ideal solution for compact, high-sensitivity LiDAR receivers. Many LiDAR applications, such as robotics, autonomous vehicles, wide-area surveillance and terrain mapping, require high-resolution sensors that can detect greatly attenuated optical signals reflected from distant objects. Eye safety has limited the adoption of these next-generation LiDAR systems, however, because the requisite higher laser power poses an increased risk of eye damage.

“The 2-micrometer window is ideal for LiDAR systems because it is considered eye-safe and extends the detection reach.” Campbell said. “I can envision our avalanche photodiode impacting numerous key technologies that benefit from high sensitivity detectors.”

###

This work is being transferred to IQE for foundry services and Lockheed Martin to develop photodiode arrays with readout circuitry. Future work at the two universities will concentrate on achieving low-noise operation at near-room temperatures, extending the operating wavelengths further into the infrared, and pushing the sensitivity to the single photon level.

Media Contact
Karen Walker
[email protected]

Original Source

https://engineering.virginia.edu/news/2020/05/avalanche-photodiode-uva-and-ut-austin-breaks-performance-record-lidar-receivers

Related Journal Article

http://dx.doi.org/10.1038/s41566-020-0637-6

Tags: Electrical Engineering/ElectronicsOpticsTechnology/Engineering/Computer Science
Share12Tweet8Share2ShareShareShare2

Related Posts

Starburst Winds Drain Supernova Energy Quickly

Starburst Winds Drain Supernova Energy Quickly

March 26, 2026
Decoding the Phosphorus Puzzle: How Microplastics and Hydrochar Transform Nutrient Dynamics in Rice Paddies

Decoding the Phosphorus Puzzle: How Microplastics and Hydrochar Transform Nutrient Dynamics in Rice Paddies

March 26, 2026

Microtubules Found to Actively Ensure Accurate Chromosome Distribution During Cell Division

March 25, 2026

Aversive Learning Hijacks Brain Sugar Sensor

March 25, 2026
Please login to join discussion

POPULAR NEWS

  • blank

    Revolutionary AI Model Enhances Precision in Detecting Food Contamination

    96 shares
    Share 38 Tweet 24
  • Imagine a Social Media Feed That Challenges Your Views Instead of Reinforcing Them

    1003 shares
    Share 397 Tweet 248
  • Uncovering Functions of Cavernous Malformation Proteins in Organoids

    54 shares
    Share 22 Tweet 14
  • Promising Outcomes from First Clinical Trials of Gene Regulation in Epilepsy

    51 shares
    Share 20 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

In-Sensor Cryptography Links Physical Process to Digital Identity

Can Psychosocial Factors Influence Cancer Risk?

Depression Factors in Elderly: Pre vs. Post-COVID Analysis

Subscribe to Blog via Email

Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm' to start subscribing.

Join 78 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.