SPARES combines physics-based modeling with machine learning-driven surrogate models to dramatically reduce the time and computational effort required to evaluate structural integrity, without ...
When it comes to process-control systems, reliability is crucial and failure can be costly or dangerous. A combination of good design practices, component selection, and testing can enhance ...
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