Procurement Summary
Country: USA
Summary: Available for Licensing Machine Learningenhanced Spectroscopy Technology for Highresolution Radiation Detection Using Lowcost Detectors
Deadline: 01 Oct 2026
Posting Date: 20 Aug 2026
Other Information
Notice Type: Tender
TOT Ref.No.: 147568569
Document Ref. No.: BA-1346
Competition: ICB
Financier: Self Financed
Purchaser Ownership: Public
Tender Value: Refer Document
CPV Classification
38945000 - Gamma counters
33114000 - Spectroscopy devices
38580000 - Non-medical equipment based on the use of radiations
38944000 - Beta gamma counters
38511200 - Transmission electron microscope
Purchaser's Detail
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Login to see detailsTender 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: oct 16, 2026
Inactive Policy: 15 days after response date
Disclaimer: The deadline date mentioned is tentative and provided for informational purposes only. This notice is a procurement forecast or general procurement plan, and not an active tender. Suppliers are advised to refer to the original documents and contact the issuing authority directly for the official tender release date and further details
Documents
Tender Notice