LLNL researchers have developed a TDLAS-based, standalone, real-time gas analyzer in a small form-factor for continuous or single-point monitoring. The system can analyze multiple gases with ultra-high sensitivity (ppm detection levels) in harsh conditions when utilizing wavelength-modulation spectroscopy (WMS).
Keywords
- Show all (62)
- Imaging Systems (9)
- Photoconductive Semiconductor Switches (PCSS) (9)
- Semiconductors (6)
- Data Science (5)
- Cybersecurity (4)
- Optical Switches (4)
- Power Electronics (3)
- Sensors (3)
- Simulation (3)
- Analysis (2)
- Computing (2)
- Electric Grid (2)
- MEMS Sensors (2)
- Optical Sensors (2)
- Particle Accelerators (2)
- Additive Manufacturing (1)
- Precision Engineering (1)
- (-) Spectrometers (2)
Image
LLNL’s novel approach combines 2-color spectroscopy with CRDS, a combination not previously utilized.
Image
LLNL has developed a new active memory data reorganization engine. In the simplest case, data can be reorganized within the memory system to present a new view of the data. The new view may be a subset or a rearrangement of the original data. As an example, an array of structures might be more efficiently accessed by a CPU as a structure of arrays. Active memory can assemble an alternative…