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.
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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…
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The technology that is available has the capability to inject realistic radiation detection spectra into the amplifier of a radiation detector and produce the all the observables that are available with that radiation detection instrument; count-rate, spectrum, dose rate, etc.
The system uses the capability of LLNL to generate the source output for virtually any source and determine…