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

Special NoticeActive

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
Sub-Agency
ENERGY, DEPARTMENT OF
Office
BATTELLE ENERGY ALLIANCEDOE CNTR
Posted Date
Wednesday, March 4, 2026
Response Deadline
Monday, June 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.