Detectors and Sensors
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Detectors and Sensors Portfolio
Detectors and Sensors Portfolio
ORNL develops detectors and sensing solutions through advanced discovery and development, computational sensing, and analytics. Our researchers conduct work to:
- design, develop, test, and evaluate sensor devices and sensory systems for real-time situational awareness
- design and develop advanced and intelligent systems utilizing radio frequency communications and machine learning for small electromagnetic signature systems
- design, develop, deploy, and analyze machine learning and decision science algorithms and techniques for energy applications
- design and develop algorithms and systems employing computational sensing approaches with images and signals
Featured Technologies
Passive Tomography for Spatially Distributed Damage Detection
Battery Thermal Runaway Risk and Preventing Safety Events Using Acoustic Emissions Monitoring
A Low-Cost Device to Quickly Measure Circulation Refrigerant Composition in the Field/Factory
In-situ Digital Image Correlation and Thermal Monitoring in Directed Energy Deposition
Method to Mitigate Catastrophic Failure of HVACR Equipment Charged with A3 Refrigerants
Nondestructive Microwave Radar Moisture Detector for Durable Building Envelope Retrofits
Sensor Augmentation for Early Detection of A3 Flammable Refrigerant Leaks with Self-Check and Diagnostics
An Ultrasonic Waveguide for Improved Ultrasonic Thermometry
Real-Time Evaluator to Optimize Prefab Retrofit Panel Installation
Unintrusive Building Air Leakage Visualization and Measurement Using Background Oriented Schlieren Photography
Distribution and Measurement of Two-Mode Squeezing Across Active Fiber Optical Networks