A team has proposed an interpretable machine learning approach that predicts print time and filament use for FFF, potentially sharpening quotes, schedules, and configuration decisions before you slice.
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Using DNA Voxels to Self-Assemble Complex 3D Nanostructures
Researchers have developed a unique way to use DNA to create 3D structures at the nanoscale.
DIMON: The AI Model That Drastically Speeds Up Solving Partial Differential Equations
Researchers have made a breakthrough in the ability to solve engineering problems. In a new paper published in Nature entitled, “A scalable framework for learning the geometry-dependent solution operators of partial differential equations”, they explain the current challenges in solving partial differential equations. Partial Differential Equations are a specific type of equation where it is… Continue reading DIMON: The AI Model That Drastically Speeds Up Solving Partial Differential Equations
Six Sigma Quality Control For Additive Manufacturing
A Six Sigma quality control approach for 3D printing has been developed by researchers at Penn State.