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Design Exploration
Once the baseline model is prepared, you can define morph volumes, morph geometry, create design shapes and run DOE studies. These tool work for both AcuSolve and ultraFluidX-based workflows.
PhysicsAI
Predict Results
Use the predict tool to generate a model prediction.

Welcome
What's New
View new features for HyperMesh CFD 2025.1.
Get Started
Learn the basics and discover the workspace.
Onboarding Resources
Discover HyperMesh CFD functionality with interactive tutorials and community resources.
Solution Layers
Solution-centric workflows allow you to traverse through modeling environments using a dedicated UI layer.
Manage Files and Data
Create, open, import, and save models.
Convert
Use the Convert tool to convert entire models between data types.
Geometry Repair
Manage CAD, FE, and 2D parametric sketch geometry.
Meshing
Generate surface/volume mesh by defining mesh controls, or interactively create and edit 2D surface mesh.
Setup
Prepare your model and run the simulation.
Post-Processing
Post-process the simulation results by creating visualizations and measurements.
Design Exploration
Once the baseline model is prepared, you can define morph volumes, morph geometry, create design shapes and run DOE studies. These tool work for both AcuSolve and ultraFluidX-based workflows.
- Morphing
- Morph
  Rapidly change the shape of the FE mesh without severely sacrificing the mesh quality.
- PhysicsAI
  - PhysicsAI Capabilities in CFD
    PhysicsAI is an AI-powered tool designed to accelerate simulation workflows by leveraging historical simulation data.
  - Guidelines for PhysicsAI Usage
  - Create and Load Projects
    Each session starts with creating a new project or loading an existing project.
  - Create and Manage Datasets
    Datasets are collections of one or more simulation results used for training or testing a model.
  - Train Models
    Train models using any physics, any mesh, and without design variable parametrization.
  - Test Models
    Use the Model Testing tools to test models and review test results.
  - Predict Results
    Use the predict tool to generate a model prediction.
  - Similarity Score
    Like all machine learning models, PhysicsAI models are most accurate when the design being predicted is similar to the designs used for training.
  - Use Batch Mode
    Learn more about using batch mode.
  - Best Practices for PhysicsAI
    Learn more about the best practices for training and using PhysicsAI models.
  - Frequently Asked Questions
    This section provides quick responses to typical and frequently asked questions regarding PhysicsAI.
Automation
Automate simulation processes with templates and utility scripts.
Solver Help
More resources for AcuSolve and ultraFluidX solvers.

Predict Results

Use the predict tool to generate a model prediction.

Verify a PhysicsAI model has been set to Active in the Model Browser. The active model will be used in the prediction.

Drag-and-drop an FE model file into the modeling window.
In the Load File dialog, define the options for the model and click OK.

Figure 1.

Note: To maintain performance, the license for PhysicsAI is drawn when a model is loaded as active. To release the license, the model should be released.
In the Import Options dialog, click Import.
The model opens in the modeling window.
From the PhysicsAI ribbon, select the Predict tool.

Figure 2.

The prediction will load in the modeling window.