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New in Amsterdam Modeling Suite AMS 2026

Amsterdam Modeling Suite, AMS, 2026 focuses on the integration of advanced machine learning (ML) potentials, simulation workflows, and usability. With expanded chemical coverage, improved performance, and streamlined tools, AMS 2026 makes it easier to run fast, automated, and reproducible research.

Header image for AMS 2026

What's new in AMS 2026 at a glance

  • Next-generation ML potentials: New model families (eSEN, MACE, UMA) deliver near-chemical accuracy, GPU-optimized performance, and expanded coverage - from biomolecules and catalysts to MOFs and inorganic materials
  • Enhanced electronic structure (ADF): New capabilities for spectroscopy, excited states, solvation, and embedding methods
  • OLED & multiscale workflows: Improved integration with Bumblebee, enabling deeper device-level insights and analysis
  • Smarter GUI: New structure builders, streamlined menus, and improved visualization tools
  • Advanced COSMO-RS: Better handling of complex, multi-component mixtures and phase behavior
  • Stronger MD & driver: More robust simulations, new constraints, faster PES scans, and enhanced sampling methods
  • VASP integration: Seamless workflow integration for materials modeling and active learning
  • Expanded Python ecosystem: More reusable examples, automation support, and easier scripting for reproducible research

Detailled View on New Features in AMS 2026

ML Potentials: Coverage and Performance

New model families  (eSEN, MACE, UMA), trained on large datasets, extend the applicability of ML potentials while improving efficiency and accuracy in AMS 2026.

Extended coverage includes:

  • Charged and magnetic molecules
  • Biomolecules and polymers
  • Metal complexes and catalytic interfaces
  • MOFs and molecular crystals
  • Inorganic materials

Performance improvements:

These capabilities support a range of workflows, including:

ADF

In AMS 2026, new functionality has been added to ADF to support a wider range of electronic structure and spectroscopic applications:

OLED and Multiscale Workflows

Updates to OLED workflows  in AMS 2026 improve integration with OLED device modeling (Bumblebee ) and analysis capabilities:

Graphical User Interface

In AMS 20226, the GUI has been updated to simplify model setup and system construction:

  • New structure builders  (nanoparticles, nanotubes, micro-solvation)
  • More compact and streamlined menus
  • Improvements to AMSview and visualization tools

These updates to the Graphical User Interface in AMS 2026 aim to make common tasks more efficient while maintaining flexibility.

COSMO-RS

In version 2026 of COSMO-RS, new tools have been introduced for modeling complex mixtures:

AMS Driver & MD

The AMS driver has been updated for AMS 2026 to provide more control and robustness in simulations:

  • Fast, rigid PES scans  (“non-optimizing mode”) without relaxing other degrees of freedom
  • Inclusion of Gibbs free energy in PES exploration

The molecular dynamics (MD) driver has also been improved in version 2026:

VASP Integration

VASP 6.4 is now supported as an external engine within AMS 2026  (not included in the Amsterdam Modeling Suite), enabling closer integration between workflows:

This integration supports materials modeling workflows within a unified environment.

Python Examples and Scripting

The Python ecosystem has been expanded in AMS 2026 to improve usability and reproducibility.

AMS 2026 offers a richer and more structured example library :

  • Reusable examples across engines and applications (ADF, COSMO-RS, Batteries, etc.)
  • Easier transition from GUI workflows to Python-based automation

Additional improvements to AMS 2026 include:

  • More accessible AMSPython scripting for a wide range of users
  • Support for automated and programmatic workflows
  • Compatibility with LLM-assisted scripting approaches