Available for Licensing Machine LearningEnhanced Spectroscopy Technology for HighResolution... Tender

ENERGY, DEPARTMENT OF has floated a tender for Available for Licensing Machine LearningEnhanced Spectroscopy Technology for HighResolution Radiation Detection Using LowCost Detectors. The project location is USA and the tender is closing on 01 Dec 2025. The tender notice number is BA-1346, while the TOT Ref Number is 129231200. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country: USA

Summary: Available for Licensing Machine LearningEnhanced Spectroscopy Technology for HighResolution Radiation Detection Using LowCost Detectors

Deadline: 01 Dec 2025

Other Information

Notice Type: Tender

TOT Ref.No.: 129231200

Document Ref. No.: BA-1346

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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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 p...
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: DEC 16, 2025
Inactive Policy: 15 DAYS AFTER RESPONSE DATE

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