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![Plasma wind](/sites/default/files/styles/scale_exact_400x400_/public/2022-08/Plasma%20wind%20.png?itok=RB5iLhMv)
![mesoscale_nand_gate.jpg mesoscale_nand_gate](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/mesoscale_nand_gate.jpg?itok=0APzWSXN)
Recent advancements in additive manufacturing, also called 3D printing, allow precise placement of materials in three dimensions. LLNL researchers have invented mechanical logic gates based on flexures that can be integrated into the microstructure of a micro-architected material through 3D printing. The logic gates can be combined into circuits allowing complex logic operations to be…
![Intrinsic Use Control](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Intrinsic%20Use%20Control.jpg?itok=plVEiBwC)
LLNL's method of equivalent time sampling incorporates an embedded system that generates the pulses used to trigger the external circuit and the data acquisition (DAQ). This removes the external reference clock, allowing the overall system clock rate to change based on the ability of the embedded system. The time delays needed to create the time stepping for equivalent time sampling is done by…
![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…
![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…