What's New

View new features for HyperStudy 2023.1.

Altair HyperStudy 2023.1 Release Notes

Quantification of complex relationships between inputs and outputs: Global variance-based sensitivity method, based on Total Sobol Indices.
Integration of physicsAI models: physicsAI models can now be deployed inside HyperStudy.
Alternative graphical user interface: As well as the classic interface, a new ribbon style interface is now available.

3D visualization of CAE models and results: Visual post-processing of simulation models and results is now supported via Media Sources.
Auto-selecting best fit model for vector predictions: FAST algorithm has been extended to support vector fits.
Optimization with vector responses: Optimization goals can be defined directly on Data Sources.
Terminating processes in different ways: The stop command in the Evaluate step now supports options on how to terminate a process.
Flexibility in finding files to purge: Purge tool now supports wildcard-based search and selecting files through the browser.
Auto-handling of hanging subprocesses: A timeout option has been added in Evaluation Parameters to terminate zombie child processes.

Explore Historical Data: A new model type has been introduced to process output files of existing data in a chosen directory. All the files containing historical data are automatically distributed to their respective run directories.

Measures as Output Variable: HyperView connection now supports measure type responses.
Launching Processes with Select Environment Variables: Environment variables can now be independently set and unset for each solver process.
Performance Gain in Model Evaluations: HyperStudy Fit and Internal Math Models can now be optionally run without directories to improve performance.
User Macros in Excel Connection: A new model setting option has been added to specify the macro.
Auto-Selecting Best Fit Model for Vector Predictions: FAST algorithm has been extended to support Vector Fits.