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.
Keywords
- (-) Show all (210)
- Instrumentation (39)
- Additive Manufacturing (37)
- Synthesis and Processing (17)
- Sensors (16)
- Diagnostics (13)
- Imaging Systems (9)
- Photoconductive Semiconductor Switches (PCSS) (9)
- Electric Grid (8)
- 3D Printing (7)
- Materials for Energy Products (7)
- Carbon Utilization (6)
- Semiconductors (6)
- Compact Space Telescopes (5)
- Data Science (5)
- Laser Materials Processing (5)
- Therapeutics (5)
- Cybersecurity (4)
- Diode Lasers (4)
- Material Design (4)
- Optical Switches (4)
The approach is to use peroxides to modify the reaction kinetics in the production of polysiloxanes. A radical initiator in the presence of a hydride-terminated polysiloxane will increase the rate of curing and reduce manufacturing costs. At a minimum a formulation would contain a hydride-terminated polysiloxane, a platinum catalyst, and an initiator that generates radicals. The content of…
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's method of equivalent time sampling incorporates an embedded system that generates the pulses used to trigger the external circuit and the data acquisition (DAQ). This removes the external reference clock, allowing the overall system clock rate to change based on the ability of the embedded system. The time delays needed to create the time stepping for equivalent time sampling is done by…
Simrev is a python library imported into a user-generated program. As the program grows in capability and complexity, the engineered product matures. The "software twin" handles all changes to product configuration and is the portal to running supercomputing analysis and managing workflow for engineering simulation codes. Assemblies become program modules; parts, materials, boundary conditions…