LLNL researchers has developed a composite copper current collector formulation readily used in DIW 3D printing to guide lithium-ion plating/dissolution during charging and discharging cycles.
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This invention focuses on the design of a fully interchangeable hub-droplet device apparatus for multiple droplet generation in parallel. The novel central hub combined with interchangeable chip configuration allows the use of different planar droplet generation devices that can be replaced and exchanged as needed. By separating the central housing hub which distributes incoming liquids into…
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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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Livermore researchers have developed a method of fabricating functional polymer-based particles by crosslinking UV-curable polymer drops in mid-air and collecting crosslinked particles in a solid container, a liquid suspension, or an air flow. Particles could contain different phases in the form or layered structures that contain one to multiple cores, or structures that are blended with…