25) Unconventional Detection Modalities - Chemical Detection
Abstract
Develops disruptive technologies to identify unknown or emerging chemical threats as well as sensors that can operate in complex threat environments with high accuracy. Efforts in this area pursue a “fail fast” approach, with promising technologies transferred to other thrust areas/budget lines for further development. This thrust area will also explore utilizing machine learning and other advanced computational tools to increase detection and identification accuracy, reduce false alarms, and enable mapping of hazardous locations to support Integrated Early Warning (IEW) capabilities.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2025
- Source ID
- e2d6d88de4e580cd72778c3217e7ac17