Contract

Available for Licensing: Machine Learning-Enhanced Spectroscopy Technology for High-Resolution Radiation Detection Using Low-Cost Detectors

Agency: ENERGY, DEPARTMENT OF / ENERGY, DEPARTMENT OF
Location: Idaho Falls, ID
Amount: Amount not listed
Deadline: Closes in 14 days (Aug 1, 2026)
Posted: Jun 17, 2026
Set-aside: None (open competition)
NAICS code: 334516

What this contract is for

Machine Learning-Enhanced Spectroscopy Technology for High-Resolution Radiation Detection Using Low-Cost Detectors Transforms low-energy resolution gamma- and x-ray detector data into high-resolution spectra—reducing cost, size, and cooling requirements without sacrificing performance. Technology Summary This INL technology enables high-energy-resolution radiation spectroscopy using low-cost, room-temperature detectors such as sodium iodide (NaI) scintillators. Traditionally, researchers and engineers rely on high-purity germanium (HPGe) detectors, lanthanum bromide (LaBr3) or similar for applications requiring fine energy discrimination; however, these systems are expensive, fragile, or require cryogenic cooling. The presented approach applies a compact convolutional neural network (CNN) architecture to reconstruct high-energy-resolution spectra from low-resolution measurements. Using four convolution-max pooling layer pairs (128–16 filters) followed by dense layers, the model captures spectral features typically only visible with HPGe detectors. The network contains roughly 1.6 million parameters (6.2 MB total), enabling fast, portable deployment in embedded or field devices. The technology offers a new analytical pathway for radiation spectroscopy—maintaining data fidelity while reducing total system cost, weight, and operational complexity. Problem Addressed High cost and complexity of high-energy-resolution detectors: HPGe systems provide excellent energy resolution (~0.2%) but are 10×–100× more expensive than scintillation-based systems. Limited operational flexibility: HPGe detectors require cryogenic cooling and are unsuitable for mobile or high-radiation environments. Low detection efficiency and count-rate performance: HPGe detectors have lower detection effic...

View the official listing on SAM.gov

Oppward is an independent service and is not affiliated with, endorsed by, or sponsored by SAM.gov or any government agency. This page is a plain-English summary of public record data; the linked source above is the authoritative listing.

How to bid on this

This is a contract solicitation, not a grant. To bid, you submit a proposal (usually a price and a description of how you would do the work) directly to the government, through the channel the official listing specifies, not through Oppward.

Make sure your business has an active SAM.gov registration. You cannot be paid on a federal contract without one.
Read the full solicitation on the official listing above, especially the scope of work, not just this summary. Our guide to reading a solicitation walks through what to look for.
This listing has no set-aside restriction ("full and open competition"), meaning any business, large or small, can bid.
Submit your proposal by the deadline, using the exact submission method the official listing states. A technically on-time bid sent the wrong way is often treated as late.