Available for Licensing Machine Learningenhanced Tender - 137178415

Procurement Summary

Country: USA

Summary: Available for Licensing Machine Learningenhanced Spectroscopy Technology for Highresolution Radiation Detection Using Lowcost Detectors

Deadline: 01 Jun 2026

Posting Date: 05 Mar 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 137178415

Document Ref. No.: BA-1346

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

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Tender Details

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 efficiency per detector volume and cannot handle high count rates without peak deformation or detector dead time, leading to data degradation.
Restricted deploym...
Notice ID: ba-1346

Department/Ind. Agency: energy, department of

Sub-tier: energy, department of

Office: battelle energy alliance–doe cntr

Product Service Code: 6635 - physical properties testing and inspection

NAICS Code: 334516 - Analytical Laboratory Instrument Manufacturing

Inactive Dates: jun 16, 2026

Inactive Policy: 15 days after response date

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