Available for Licensing: Machine Learning-Enhanced Spectroscopy Technology for High-Resolution Radiation Detection Using Low-Cost Detectors
ENERGY, DEPARTMENT OF
Place of performance: Idaho Falls, ID
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- Posted
- Aug 20, 2026
- Closes
- No deadline published by the funder
At a glance
This is a government contract opportunity posted by ENERGY, DEPARTMENT OF in the analytical laboratory instrument manufacturing category. Work is performed in Idaho Falls, ID.
Classification and identifiers
- Industry (NAICS)
- Analytical Laboratory Instrument Manufacturing (334516)
- Product or service (PSC)
- Physical Properties Testing and Inspection (6635)
- Solicitation number
- BA-1346
- Contracting office
- BATTELLE ENERGY ALLIANCE–DOE CNTR
Who can apply
About this opportunity
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) ...