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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![Picture of SLA printed structures using 3D printable nitrile-containing photopolymer resins](/sites/default/files/styles/scale_exact_400x400_/public/2024-04/SLA%20printed%20structures%20using%203D%20printable%20nitrile-containing%20photopolymer%20resins.jpg?itok=cVxxoNNY)
LLNL’s invention is a photopolymerizable polymer resin that consists of one or more nitrile-functional based polymers. The resin is formulated for SLA based 3D printing allowing for the production of nitrile-containing polymer components that can then be thermally processed into a conductive, highly graphitic materials. The novelty of the invention lies in (1) the photo-curable nitrile-…
![CT Scanner Adobe Stock Image](/sites/default/files/styles/scale_exact_400x400_/public/2024-03/CT%20Scanner.jpeg?itok=tHCxNWpA)
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.
![Printed TPMS membrane structures using nanoporous photoresist](/sites/default/files/styles/scale_exact_400x400_/public/2023-12/Printed%20TPMS%20membrane%20structures.png?itok=siH1EwC9)
LLNL researchers have developed novel advanced manufactured biomimetic 3D-TPMS (triply periodic minimal surface) membrane architectures such as a 3D gyroid membrane. The membrane is printed using LLNL's nano-porous photoresist technology. LLNL’s 3D-TPMS membranes consist of two independent but interpenetrating macropore flow channel systems that are separated by a thin nano-porous wall. 3D-…
![Livermore Tomography Tools LTT](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/LTT.jpg?itok=cQE9Kpef)
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…
![Sequoia computer panels off](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Sequoia%20HPC.jpg?itok=sHb2NE1F)
LLNL has developed a new active memory data reorganization engine. In the simplest case, data can be reorganized within the memory system to present a new view of the data. The new view may be a subset or a rearrangement of the original data. As an example, an array of structures might be more efficiently accessed by a CPU as a structure of arrays. Active memory can assemble an alternative…
![Marine helmet](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Marine%20helmet-inside.jpg?itok=8W_dqpgI)
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…