This invention solves a limitation in the current practice of adding hydroxyl functional groups to the aminopolymer through the use of an alternative synthetic approach. The novelty of our approach is to produce new structurally modified relatives of common aminopolymers (PEI and PPI) as well as new functionalized materials in which the hydroxyl groups are tethered to a carbon in the backbone…
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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.
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This invention describes a multiple nozzle microfluidic unit that allows simultaneous generation streams of multiple layered coaxial liquid jets. Liquids are pumped into the device at a combined flow rate from 100 mL/hr to 10 L/hr. Droplets are created with diameters in the range of 1 µm to 5 mm and can be created with 1-2 shell layers encapsulating fluid. Droplets created from the system can…
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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…
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Livermore researchers have developed a method for implementing closed-loop control in extrusion printing processes by means of novel sensing, machine learning, and optimal control algorithms for the optimization of printing parameters and controllability. The system includes a suite of sensors, including cameras, voltage and current meters, scales, etc., that provide in-situ process monitoring…
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LLNL researchers have developed a system that relies on machine learning to monitor microfluidic devices. The system includes (at least) a microfluidic device, sensor(s), and a local network computer. The system could also include a camera that takes real-time images of channel(s) within an operating microfluidic device. A subset of these images can be used to train/teach a machine learning…