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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![Small-angle X-ray scattering (SAXS) data of crosslinked polyelectrolyte membrane films formed under different equilibrium humidity conditions](/sites/default/files/styles/scale_exact_400x400_/public/2024-04/SAXS%20data%20of%20crosslinked%20polyelectrolyte%20membrane%20films.png?itok=1bIMOhqO)
LLNL researchers have developed a method to enhance the performance of polyelectrolyte membranes by using a humidity-controlled crosslinking process which can be applied to precisely adjust the water channels of the membrane.
![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.
![AI Innovation Incubator](/sites/default/files/styles/scale_exact_400x400_/public/2022-01/AI%20Innovation%20Incubator.jpg?itok=B8jcKPOy)
Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied science, including research in key areas such as advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.
![Plasma wind](/sites/default/files/styles/scale_exact_400x400_/public/2022-08/Plasma%20wind%20.png?itok=RB5iLhMv)
![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…
![Catalyst HPC cluster](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Catalyst%20HPC%20cluster.jpg?itok=k9uYS5xL)
Clinical images have a wealth of data that are currently untapped by physicians and machine learning (ML) methods alike. Most ML methods require more data than is available to sufficiently train them. In order to obtain all data contained in a clinical image, it is imperative to be able to utilize multimodal, or various types of, data such as tags or identifications, especially where spatial…
![medical_x-rays_x-ray_tech](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/medical_x-rays_x-ray_tech_1.jpg?itok=kn0J-DkH)
Some COVID-19 diagnoses are utilizing computed tomography (CT)-scans for triage. CT-scans produce immediate results with high sensitivity. The digital images produced by a CT-scan require physicians to identify objects within the image to determine the presence of disease. Object identification can be done using machine learning (ML) techniques such as deep learning (DL) to improve speed and…
![MimicGAN data set example](/sites/default/files/styles/scale_exact_400x400_/public/2020-05/mimicgan_robustness_to_rotation.png?itok=yacM18ra)
MimicGAN represents a new generation of methods that can “self-correct” for unseen corruptions in the data out in the field. This is particularly useful for systems that need to be deployed autonomously without needing constant intervention such as Automated Driver Assistance Systems. MimicGAN achieves this by treating every test sample as “corrupt” by default. The goal is to determine (a) the…
![Toy model demonstration of a Napier Deltic Engine. Thermo-structural analysis in Diablo with piston pressure. Simrev software-twin is seven python modules; pistons, crank-arms, gears, etc.; and a main program. Total 600 lines of code.](/sites/default/files/styles/scale_exact_400x400_/public/2019-10/toy_model_demonstration.png?itok=f08Z-smu)
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…
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LLNL researchers have developed an alternative route to protective breathable membranes called Second Skin technology, which has transformative potential for protective garments. These membranes are expected to be particularly effective in mitigating physiological burden.
For additional information see article in Advanced Materials “Ultrabreathable and Protective Membranes with Sub-5…
![medical_x-rays_x-ray_tech](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/medical_x-rays_x-ray_tech_1.jpg?itok=kn0J-DkH)
LLNL has developed a new system, called the Segmentation Ensembles System, that provides a simple and general way to fuse high-level and low-level information and leads to a substantial increase in overall performance of digital image analysis. LLNL researchers have demonstrated the effectiveness of the approach on applications ranging from automatic threat detection for airport security, to…