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Technology Portfolios

4D Computed Tomography Reconstructions
Implicit Neural Representation-based Architecture for Dynamic 4D and Ill-Posed Computed Tomography Reconstruction

LLNL’s Distributed Implicit Neural Representation (DINR) is a novel approach to 4D time-space reconstruction of dynamic objects.  DINR is the first technology to enable 4D imaging of dynamic objects at sufficiently high spatial and temporal resolutions that are necessary for real world medical and industrial applications. 

Stock image UAV drone monitoring gas near pipeline valves
Rugged, power-efficient and compact system based on TDLAS for remote sensing of multiple gases in challenging environments

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). 

Schematic of 2P3C setup. Pump laser component is in red while probe laser component is denoted in blue.
Trace Gas Detection with 2P3C Ring-Down Spectroscopy

LLNL’s novel approach combines 2-color spectroscopy with CRDS, a combination not previously utilized.

Computer designed bridge
Development of an Application Programming Interface (API) to merge Computer Aided Design (CAD) software and Livermore Design Optimization (LiDO) code

The LiDO code combines finite element analysis, design sensitivity analysis and nonlinear programming in a High-Performance Computing (HPC) environment that enables the solution of large-scale structural optimization problems in a computationally efficient manner. Currently, the code uses topology optimization strategies in which a given material is optimally distributed throughout the domain…