SBIR/STTR Research Award

Radiation hardened Trench-Isolated Low-Gain Avalanche Diode (TI-LGAD)

Award identifier 8de1b478e479e1fc816ae9bbf69c815fd75dcd9f9b2943bf1fd58ac0b640682aAwarding agency Department of Energy

Award amount

$199,999

Program and phase

SBIR · Phase I

Award year

2023

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
CACTUS MATERIALS, INC.
Proposal award date
2023-07-10
Contract end date
2024-07-09
UEI
SX7VM5R549M7
Solicitation number
DE-FOA-0002903
Topic code
C56-37a

Research abstract

The current generation of low gain avalanche diodes (LGAD) suffers from large fractional dead area at the edges of the pixel, resulting in an important loss of fill factor if the pixel size is in the order of 100 micron. For example, the LGADs planned to be used in the timing detectors of both ATLAS and CMS have a pixel pitch of 1.3 mm. Furthermore, current generations of LGADs have only moderate radiation hardness. The main obstacle of LGADs and their successful use at future experiments in high energy physics is the degradation of gain with fluence. LGADs will be exposed at the HL-LHC to equivalent fluences of up to 𝛷𝑒𝑞 = 2x1015 n/cm2. At these fluences the gain due to the p+ layer completely disappears. The challenge is to obtain a gain of ~50 (or at least x10-20) after high fluence, all for a reasonable bias voltage. This can be accomplished by using a few-micron deep and narrow gain layer. The aim of the Phase I proposal is to develop radiation hardened LGADs for faster time and space resolution based on engineering substrate developed at Cactus Materials, Inc. as part of previous Phase I/II project. An alternative solution for LGAD segmentation is the deep trench isolation (DTI) technology, which exploits physical trenches in the silicon substrate to provide electrical isolation among nearby pixels. Such a solution has been extensively used in CMOS image sensors as well as in silicon photomultipliers, where DTI reduces both electrical and optical crosstalk among cells. The application of DTI technology to LGAD design: trench-isolated LGADs (TI-LGADs) are designed to attain fine pixel segmentation and very high FF, preserving the timing capabilities and the radiation hardness when coupled with the deep and narrow gain layer. The present innovation in engineering substrate with industry standard fabrication process will provide a more stable, radiation hard detector with a much higher fill factor for small pixels than any previous device. This design will directly be applicable for the upgrade of CMS or ATLAS experiment in high luminosity large hardon collider (HL-LHC), ATLAS high granularity timing detector (HGTD) and other applications. A radiation hardened engineering substrate for fast time and space resolutions was developed and fabricated We will leverage those substrates in this project. Key application for these LGADs sensors ranges from high energy physics (HEP) to healthcare. 4D sensors for tracking particles in HEP, scintillator coupling for photon detection applicable in healthcare such as medical imaging in positron emission tomography (PET) scanner, soft x-ray cameras with higher frame rate and other applications. Cactus materials, Inc. and Dr. Gabriele of Brookhaven National Lab will collaborate in this project,

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

14 SBIR/STTR records share this UEI (2018–2023). Reported award amounts total $5,904,879. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, National Aeronautics and Space Administration

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.