LLNL’s novel approach utilizes a number of techniques to improve reconstruction accuracy:
Keywords
- Show all (76)
- Additive Manufacturing (37)
- 3D Printing (7)
- Data Science (5)
- Cybersecurity (4)
- Computing (2)
- Imaging Systems (2)
- Manufacturing Automation (2)
- Simulation (2)
- Synthesis and Processing (2)
- Electric Grid (1)
- Information Technology (1)
- Manufacturing Simulation (1)
- Material Design (1)
- Microfabrication (1)
- Precision Engineering (1)
- Quantum Science (1)
- Sensors (1)
- Volumetric Additive Manufacturing (1)
- (-) Manufacturing Improvements (3)
- (-) Analysis (1)
Technology Portfolios
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…
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,…