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What's New
Here’s a quick look at the latest features available with Altair Material Modeler.
Release Notes 2025.0
The release notes provide details about the new features and enhancements in AMM 2025.0
Known Issues
This section outlines current limitations and areas for improvement identified in this release:

Welcome
Altair Material Modeler
Generating accurate material properties can be a time-consuming process, Altair Material Modeler (AMM) is a sophisticated modeling software that efficiently processes material data from testing to generate simulation-ready material cards for analyzing the nonlinear behavior of bulk materials as well as the various physical properties of materials, such as polymers and elastomers, used in the manufacture of modern products.
What's New
Here’s a quick look at the latest features available with Altair Material Modeler.
- Release Notes 2025.0
  The release notes provide details about the new features and enhancements in AMM 2025.0
  - Resolved Issues
    This release introduces enhancements to fitting tools, improved API support, and new solver integrations to streamline material modeling workflows:
  - Known Issues
    This section outlines current limitations and areas for improvement identified in this release:
- Release Notes 2023.0
  The release notes provide details about the new features and enhancements in AMM 2023.0
Tutorials
Discover the features of Altair Material Modeler with interactive tutorials.
Elastoplastic Material Modeling
This chapter provides information from preparing data to generating a material card.
Multi-Physics Material Modeling
Altair Material Modeler is a collection of data fitting tools for polymers in a single cohesive studio environment with a workflow designed around using the results for various manufacturing and structural simulations including injection molding, extrusion, temperature-dependent structural simulation, short fiber multiscale modeling, and hyperelastics.
Shear Viscosity

Known Issues

This section outlines current limitations and areas for improvement identified in this release:

Pressure Dependence Fitting for IKV and Schmidt Models

Summary: Models for pressure dependence are in early stages and lack maturity.

Workaround: Users can manually edit parameters as needed to achieve desired results.

Compressible Hyperelastic (HE) Fitting Performance is Slow

Summary: Slow initial fitting process may take longer than expected.

Workaround: Performance improves significantly when switching between results after initial fitting.

Summary: Replacing test data triggers a refit process for multi-curve models, which can increase processing time.

Specific Volume Fitting False-Error Detection

Summary: Automated data checks can be overly sensitive, occasionally flagging false errors.

Workaround: As a workaround, parameter data can be imported directly using XLSX or CSV files for validation and correction.