Release Notes for v1.33 (w/c Apr 25 2022)

Modified on Thu, 28 Apr 2022 at 10:11 AM

Main new developments

3D-to-Scalar Models

  • 3D-to-scalar model is a new 3D Deep Learning model which links unstructured 3D CAD (Computer Aided Design) designs data directly to scalar quantities of interest. 
  • This new feature will allow you to drop a new 3D CAD design into Monolith and get an instant prediction of its performance or quality under new operating conditions.  
  • User feedback suggested that performance data should be included in the loss function during model training, depending on your use case, it can improve prediction accuracy.  
  • More information can be found in this knowledge article

Add save output under different name option to Filter Numeric and Quick Columns

  • We have implemented the ability to save the manipulator output from under a different name instead of overwriting the existing dataset.  

Other improvements

  • Improved error handling when using quick overview and random sample steps 
  • Resolved - duplicate steps being created when a new step is added 
  • Prevent overlapping windows within the Model manipulator step selector 
  • Loading spinner functionality for each step has been improved 
  • Other bug fixes 

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