The essence of this invention is a method that couples network architecture using neural implicit representations coupled with a novel parametric motion field to perform limited angle 4D-CT reconstruction of deforming scenes.
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- Photoconductive Semiconductor Switches (PCSS) (9)
- Imaging Systems (8)
- Semiconductors (6)
- Optical Switches (4)
- Power Electronics (3)
- Sensors (3)
- Electric Grid (2)
- MEMS Sensors (2)
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- 3D Electronics (1)
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- (-) Particle Accelerators (2)
- (-) Precision Engineering (1)
The approach is to build a high voltage insulator consisting of two materials: Poly-Ether-Ether-Ketone (“PEEK”) and Machinable Ceramic (“MACOR”). PEEK has a high stress tolerance but cannot withstand high temperatures, while MACOR has high heat tolerance but is difficult to machine and can be brittle. MACOR is used for the plasma-facing surface, while PEEK will handle the stresses and high…
LLNL’s approach is to use their patented Photoconductive Charge Trapping Apparatus (U.S. Patent No. 11,366,401) as the active switch needed to discharge voltage across a vacuum gap in a particle accelerator, like the one described in their other patent (U.S. Patent No.
To solve these challenges using new and existing CT system designs, LLNL has developed an innovative software package for CT data processing and reconstruction. Livermore Tomography Tools (LTT) is a modern integrated software package that includes all aspects of CT modeling, simulation, reconstruction, and analysis algorithms based on the latest research in the field. LTT contains the most…
Recent advancements in additive manufacturing, also called 3D printing, allow precise placement of materials in three dimensions. LLNL researchers have invented mechanical logic gates based on flexures that can be integrated into the microstructure of a micro-architected material through 3D printing. The logic gates can be combined into circuits allowing complex logic operations to be…