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.
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![ground-penetrating radar system developed for buried hazard detection](/sites/default/files/styles/scale_exact_400x400_/public/2023-08/GPR%20for%20buried%20hazard%20detection.png?itok=-miP0Qkw)
A set of images generated by multiple passes over the same area can be coherently integrated by this technology developed by LLNL researchers. The primary difficulty with coherently combining different passes is registering the images obtained from each pass, particularly if a pass only partially covers a given area.
![Drone-based GPR](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/Drone-based%20GPR.png?itok=6w7XzqPN)
LLNL researchers have developed a lightweight drone-based GPR array that when flown over a surface with laid and/or buried objects could image the field of view and be able to detect targets and discriminate them from clutter. The imaging method employs a modified multi-static architecture to provide the highest signal to noise with the lowest system weight, making it ideal for airborne or…
![Triband Image Rendering](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/Triband%20Image%20Rendering.png?itok=8htGv08y)
This technology uses three different frequency bands to create intensity maps of returned signals. Signals have traditionally been displayed as raw return data. The intensity of the return is represented by level of brightness. Assignment of a scalar value for intensity is used to determine the brightness of the image. In this technology, each frequency is given a designated primary color…
![Revolutionary Suppressor Technology](/sites/default/files/styles/scale_exact_400x400_/public/2023-04/Revolutionary%20Suppressor%20Technology.png?itok=9-YrqKfC)
The suppressor has a series of chambers for the propellant to flow through, but unlike all traditional suppressors, the chambers are open, not closed. The propellant is not trapped. It keeps moving. We manage its unimpeded flow through the suppressor. This is the key underlying technology of our suppressor design that enables all the improvements over the 100-year old traditional designs.
![energetic compounds with isotopic labels](/sites/default/files/styles/scale_exact_400x400_/public/2022-07/energetic%20compounds%20with%20isotopic%20labels.jpg?itok=TMxvPJNH)
Livermore Lab researchers have developed a tunable shaped charge which comprises a cylindrical liner commonly a metal such as copper or molybdenum but almost any solid material can be used and a surround layer of explosive in which the detonation front is constrained to propagate at an angle with respect to the charge axis. The key to the concept is the ability to deposit a surrounding…
![Computer designed bridge](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Computer%20design.jpg?itok=F-97vHYM)
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…
![3d printed structural_energetics](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/3d%20printed%20structural_energetics.png?itok=rY3uxyIn)
Livermore Lab researchers have developed a method that combines additive manufacturing (AM) with an infill step to render a final component which is energetic. In this case, AM is first used to print a part of the system, and this material can either be inert or energetic on its own. A second material is subsequently added to the structure via a second technique such as casting, melt…
![demo_sys.jpg demo_sys](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/demo_sys.jpg?itok=4gpZeIsr)
LLNL has developed a wide band (WB) ground penetrating radar (GPR) technology to detect and image buried objects under a moving vehicle. Efficient and high performance processing algorithms reconstruct images of buried or hidden objects in two or three dimensions under a scanning array. The technology includes a mobile high-performance computing system allowing GPR array sensor data to be…