SBIR/STTR Research Award

Design and Fabrication of the HDSoC- High Density Digitizer System-on-Chips

Award identifier 9c5abce278c12d8fb165fc8536f05e367b7563ac06c869cde39e1bdfb105073cAwarding agency Department of Energy

Award amount

$199,925

Program and phase

SBIR · Phase I

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
NALU SCIENTIFIC, LLC
Proposal award date
2020-02-18
Contract end date
2020-11-17
UEI
ZFYUKU9F8TQ4
Solicitation number
DE-FOA-0002145
Topic code
32b

Research abstract

In this project Nalu Scientific will design, develop, and make commercially available the “HDSoC”, a fast measurement tool to readout several up to 64) high speed signals generated by particles in particle and high energy physics experiments. Detection of individual charged particles and photons and estimation of their properties, momentum, and direction of arrival is the basis for a wide range of scientific and commercial applications from high-energy, nuclear and astro- physics to medical imaging and diagnosis and LIDAR. We are targeting the data acquisition market for medium to large scientific experiments in the energy or intensity frontiers. These complex experiments require hundreds to thousands of recording channels capable of fast data acquisition and signal processing. The HDSoC allows for timing resolutions on the order of 100s of picoseconds, which will translate to highly accurate estimates of charged particles and their tracks. This requires design and development of custom electronic equipment to highly integrate functionality and performance and bring the cost per channel down. Low cost, low power designs are especially attractive for experiments with thousands of recording channels. We propose to design and make commercially available the “HDSoC”: a low-cost, low-power and high density waveform sampling chip capable of analog signal conditioning, fast waveform sampling, and integrated readout with sparsification and signal processing. The HDSoC device will also have calibration and monitoring circuitry in addition to a deep sampling buffer making it suitable for large Nuclear Physics and High Energy Physics experiments with potentially long trigger delays. Design and development of the advanced HDSoC is built by i) enhanced integration of the readout ASIC redesigning the analog input conditioning stage for increased bandwidth and linearity, ii) architecture exploration for optimization of performance, iii) implementation of data reduction and self-triggering, and iv) fast serial interfacing. This device can be used by scientists in high energy and nuclear physics experiments for fast analog data acquisition. It also has applications in high end general purpose instrumentations and medical/PET imaging, as well as automotive and remote sensing self-driving vehicles) applications with LIDAR. We anticipate the ability to sell the device as an OEM manufacturer, provide associated design services or license it to a larger device manufacturer due to the low cost and low power nature of the design which will give us a competitive edge.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

33 SBIR/STTR records share this UEI (2016–2025). Reported award amounts total $14,748,717. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Defense, Department of Commerce

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.