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

ENERGY, DEPARTMENT OF

Special Notice · not a solicitation. There is nothing to bid on yet: agencies use this notice type for market research or information. You can respond to get on their radar, but do not budget proposal time for it.

Place of performance: Idaho Falls, ID

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Posted
Aug 20, 2026
Closes
No deadline published by the funder

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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

Work performed in Idaho Falls, ID

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) ...

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