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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To replicate the physiology and functionality of tissues and organs, LLNL has developed an in vitro device that contains 3D MEAs made from flexible polymeric probes with multiple electrodes along the body of each probe. At the end of each probe body is a specially designed hinge that allows the probe to transition from lying flat to a more upright position when actuated and then…
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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…