Aug. 17, 2022, 3:11 p.m. |

News on Artificial Intelligence and Machine Learning techxplore.com

Round particles and their properties are easy to describe mathematically. But the less round or spherical the shape, the harder it becomes to make predictions about their behavior. In his doctoral thesis at the Technical University of Kaiserslautern (TUK), Robert Hesse has trained a neural network to automatically determine the packing density and flowability of non-spherical particles.

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