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What's New
View new features for Altair HyperWorks 2024.1.
2024 Release Notes
PhysicsAI

Welcome
What's New
View new features for Altair HyperWorks 2024.1.
- 2024.1 Release Notes
- 2024 Release Notes
Get Started
Learn the basics and discover the workspace.
Tutorials
Learn more about the Altair HyperWorks suite of products with interactive tutorials.
Startup Procedures and Customizations
Start and configure the applications.
Tool Finder
View a list of deprecated panels and their newer, equivalent workflows.
Manage Files and Data
Create, open, import, and save models.
Sessions and Report Templates
Set up sessions and create report templates.
Interface with External Products
Solver interfaces supported in HyperMesh.
Entities and Solver Interfaces
A solver interface is made up of a template and a FE-input reader.
Browsers
Browsers provide a structured view of model data, which you can use to review, modify, create, and manage the contents of a model. In addition to visualization, browsers offer features like search, filtering, and sorting, which enhance your ability to navigate and interact with the model data.
Sketching
Create and edit 2D parametric sketch geometry.
Topology
Create, edit, and cleanup geometry.
FE Geometry
FE geometry is topology on top of mesh, meaning CAD and mesh exist as a single entity. The purpose of FE geometry is to add vertices, edges, surfaces, and solids on FE models which have no CAD geometry.
Meshing and Elements
Explore the different types of mesh you can create in HyperMesh and create and edit 0D, 1D, 2D, and 3D elements.
Model Build and Assembly
Create, organize and manage parts and subsystems.
Composites
HyperMesh composites modeling.
Connectors
Create connections between parts of your model.
Morph
Rapidly change the shape of the FE mesh without severely sacrificing the mesh quality.
Skeleton Modeling
Create a reduced ordered model to facilitate optimization at the concept phase.
Design Space
Workflow to support topology optimization model build and setup.
Optimization
Setup an Optimization in HyperMesh.
Design Explorer
Multi-disciplinary design exploration and optimization tools.
Validate
Validate the model built before running solver analysis.
Analyze
Models require loads and boundary conditions in order to represent the various physics and/or physical equivalents to bench and in-use testing.
Axisymmetry
Reduce a full 3D model with axisymmetric surfaces while accounting for imperfections.
Concept Modeling
Tools and workflows that are dedicated to rapidly creating new parts for specific use cases, or amending existing parts. The current capabilities are focused on stiffening parts.
Crash and Safety
Tools used for crash and safety analysis.
Airbag
Use airbag folder utilities and export a resulting airbag in a Radioss deck.
Aerospace
Essential utility tools developed using HyperMesh-Tcl.
Aeroelasticity
Import an aeroelastic finite element model with Nastran Bulk Data format.
Certification
Framework to plug certification methods to assess margin of safety from the model and result information.
PhysicsAI
Use PhysicsAI to build fast predictive models from CAE data. PhysicsAI can be trained on data with any physics or remeshing and without design variables.
Results Data
Results data can be post-processed using both HyperMesh and HyperView.
Developer
The Developer ribbon contains tools for automation and customization.
Plot Data
HyperGraph is a data analysis and plotting tool with interfaces to many file formats.
Multibody Modeling
MotionView is a general pre-processor for Multibody Dynamics.
Media Files
MediaView plays video files, displays static images, tracks objects, and measures distances.
Tabulate Results
Use TableView to create an Excel-like spreadsheet.
Text Files
TextView math scripts reference vector data from HyperGraph windows to automate data processing and data summary.
Publishing and Reporting
Create, define, and export reports.

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Altair PhysicsAI 2024 Release Notes

Announcements

License checkout for training, testing, and prediction will now draw 75 Altair Units.

New Features

Improved Predictions of Contours: Although numerically insignificant, physicsAI could produce animations with localized noise; the effect was most notable in deformation animations. A new smoothing scheme is being introduced to produce cleaner output predictions. The improved algorithm improves predictions by both reducing noise and improving accuracy.
Figure 1.
Enhanced Insights for Model Quality Assessment: After training, data scientists rely on numerical metrics to evaluate the accuracy of the machine learning model. New metrics include coefficient of determination (r-squared), Sprague-Geers, and absolute and percent errors of the peak values. The new metrics add to physicsAI’s broad range diagnostic tools used to appraise model quality.
Access Scalable Computing Resources with Seamless Integration to Altair One: Geometric deep learning requires substantial computing resources for training. For projects saved on Altair One Drive, training can be submitted to Altair One's HPC system with a single click. Access to the computing power you need is easy with Altair One’s scalable HPC and cloud resources.

Enhancements

Batch size is exposed as a training parameter.
The number of nodes and elements present in each file of the dataset is visible for review.
Improved error messages.

Resolved Issues

MAE predictions improperly ignored contributions from entities with a truth of zero.
Vector predictions produced poor results if the output values were very large or very small.

Known Issues

Sorting columns in the training tables are not correct for scientific notation.
Backwards compatibility with specification files created in 2022.3 is ending. New files should be created.