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 (82)
- Imaging Systems (9)
- Photoconductive Semiconductor Switches (PCSS) (9)
- Electric Grid (8)
- Carbon Utilization (6)
- Semiconductors (6)
- Data Science (5)
- Cybersecurity (4)
- Materials for Energy Products (4)
- Optical Switches (4)
- Additive Manufacturing (3)
- Power Electronics (3)
- Sensors (3)
- Simulation (3)
- 3D Printing (2)
- Computing (2)
- Direct Air Capture (2)
- Particle Accelerators (2)
- Synthesis and Processing (2)
- (-) Spectrometers (3)
- (-) Analysis (2)
LLNL researchers have developed a TDLAS-based, standalone, real-time gas analyzer in a small form-factor for continuous or single-point monitoring. The system can analyze multiple gases with ultra-high sensitivity (ppm detection levels) in harsh conditions when utilizing wavelength-modulation spectroscopy (WMS).
LLNL’s novel approach combines 2-color spectroscopy with CRDS, a combination not previously utilized.
There are prominent technical challenges arising from spinning a battery on the order of kilohertz as required by magic angle spinning in order to obtain spectral resolution that are addressed and enable operando solid-state NMR. The operando NMR measurement allows for continuous monitoring of the battery components and of potential metastable states that may exist during…
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 Optically-based Interstory Drift Meter System provides a means to accurately measure the dynamic interstory drift of a vibrating building (or other structure) during earthquake shaking. This technology addresses many of the shortcomings associated with traditional strong motion accelerometer based building monitoring.
LLNL’s discrete diode position sensitive device is a newly…
The invention relates to a measurement method and system for capturing both the amplitude and phase temporal profile of a transient waveform or a selected number of consecutive waveforms having bandwidths of up to about 10 THz in a single shot or in a high repetition rate mode. The invention consists of an optical preprocessor which can then output a time-scaled replica of the input signal to…