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.
Keywords
- Show all (98)
- Additive Manufacturing (37)
- Sensors (16)
- 3D Printing (7)
- Data Science (5)
- Cybersecurity (4)
- Ground Penetrating Radar (4)
- Defense Technologies (3)
- Manufacturing Improvements (3)
- Computing (2)
- Manufacturing Automation (2)
- National Security Forensics (2)
- Simulation (2)
- Synthesis and Processing (2)
- Electric Grid (1)
- Manufacturing Simulation (1)
- Microfabrication (1)
- Precision Engineering (1)
- Volumetric Additive Manufacturing (1)
- (-) Imaging Systems (3)
- (-) Material Design (1)
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…
By combining 3D printing and dealloying., researchers at LLNL have developed a method for fabricating metal foams with engineered hierarchical architectures consisting of pores at least 3 distinct length scales. LLNL’s method uses direct ink writing (DIW), a 3D printing technique for additive manufacturing to fabricate hierarchical nanoporous metal foams with deterministically controlled 3D…
LLNL's high fidelity hydrocode is capable of predicting blast loads and directly coupling those loads to structures to predict a mechanical response. By combining this code and our expertise in modeling blast-structure interaction and damage, along with our access to experimental data and testing facilities, we can contribute to the design of protective equipment that can better mitigate the…