LLNL’s novel approach utilizes a number of techniques to improve reconstruction accuracy:
Keywords
- Show all (125)
- Additive Manufacturing (37)
- Synthesis and Processing (17)
- Imaging Systems (9)
- Photoconductive Semiconductor Switches (PCSS) (9)
- 3D Printing (7)
- Materials for Energy Products (6)
- Semiconductors (6)
- Material Design (4)
- Optical Switches (4)
- Electric Grid (3)
- Power Electronics (3)
- Sensors (3)
- Computing (2)
- Manufacturing Automation (2)
- Membranes (2)
- Optical Sensors (2)
- Particle Accelerators (2)
- Spectrometers (2)
- (-) Manufacturing Improvements (3)
- (-) Precision Engineering (2)
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…
LLNL pioneered the use of tomographic reconstruction to determine the power density of electron beams using profiles of the beam taken at a number of angles. LLNL’s earlier diagnostic consisted of a fixed number of radially oriented sensor slits and required the beam to be circled over them at a fixed known diameter to collect data. The new sensor design incorporates annular slits instead,…
The LLNL method for optimizing as built optical designs uses insights from perturbed optical system theory and reformulates perturbation of optical performance in terms of double Zernikes, which can be calculated analytically rather than by tracing thousands of rays. A new theory of compensation is enabled by the use of double Zernikes which allows the performance degradation of a perturbed…