Available for Licensing: Machine Learning-Enhanced Spectroscopy Technology for High-Resolution Radiation Detection Using Low-Cost Detectors
Key Takeaways
- Full and open competition - all businesses eligible to bid
- Work to be performed in Idaho Falls, ID
- Industry: Analytical Laboratory Instrument Manufacturing
Contract Details
- Notice ID
- BA-1346
- Opportunity Type
- Special Notice
- Agency
- ENERGY, DEPARTMENT OF
- Sub-Agency
- ENERGY, DEPARTMENT OF
- Office
- BATTELLE ENERGY ALLIANCEDOE CNTR
- Posted Date
- Wednesday, August 19, 2026
- Response Deadline
- Thursday, October 1, 2026
- PSC Code
- 6635
- Set-Aside
- Full & Open Competition
- Place of Performance
- Idaho Falls, ID, 83415
- Status
- Active
Description
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 spectrareducing 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) a
Why This Opportunity Matters
ENERGY, DEPARTMENT OF is seeking responses for analytical laboratory instrument manufacturing in Idaho Falls, ID.
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