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Amsterdam Modeling Suite
Atomistic Scale
Electronic Structure
ADF

Understand and predict chemical properties with our fast and accurate molecular DFT code.

Periodic DFT

BAND & Quantum Espresso: Calculate reactivity, band gaps, optical response, and other properties for periodic systems.

DFTB & MOPAC

Model larger molecules and periodic systems, or prescreen many candidates, with the fast electronic structure methods DFTB and MOPAC.
Interatomic Potentials
ReaxFF

Study large, chemically evolving systems with ReaxFF molecular dynamics.

Machine Learning Potentials

Use preparametrized ML potentials M3GNET, ANI-1ccx or your own models.

Force Fields

GFN-FF, Apple&P, UFF, and more- (polarizable) force fields.
Meso- & Macroscale
kMC and Microkinetics

Predict catalytic turn-over frequencies with microkinetics and kinetic Monte Carlo.
Bumblebee: OLED stacks

3D kinetic Monte Carlo for simulating OLED device-level physics
Fluid Thermodynamics
COSMO-RS

Quick physical property predictions, thermodynamic properties in solution, and solvent screening.

Amsterdam Modeling Suite: computational chemistry with expert support to advance your chemistry & materials R&D

See application areas Pricing & licensing
Tools
Workflows and Utilities
OLED workflows

Automatic workflows to simulate physical vapor deposition and calculate properties for OLED device modeling.
ChemTraYzer2

Automatically extract reaction pathways and reaction rates from reactive MD trajectories.
Conformers

Easily generate, screen, refine, and select conformers. Pass on to other modules for conformational averaging.
Reactions Discovery

Predict chemical (side) reactions from nothing but constituent molecules.
AMS Driver
Properties

Calculate frequencies, phonons, and more. Use forces and energies from AMS or external engines.
PES Exploration

Minimize structures, find transitions states, scan multiple coordinates.
Molecular Dynamics

Use advanced thermo- and barostats, non-equilibrium and accelerated MD, molecule gun.

Monte Carlo

Grand Canonical Monte Carlo to study absorption, (dis)charge processes.
Interfaces
ParAMS

Versatile graphical and python scripting tools to create training sets and parametrize DFTB, ReaxFF, and machine learned potentials.
PLAMS

Versatile python scripting interface to create your own computational chemistry workflows
GUI

Powerful graphical interface to set up, run, and analyze calculations. Even across different platforms.
VASP

Interface to popular plane-wave code VASP. Easily set up PES Scans to create training data.

The SCM team wants to make computational chemistry work for you!

Check out the tutorials Questions? Contact us!
Docs & Support
Downloads
Windows

ams2024.105
Mac

ams2024.105
Linux

ams2024.105

 See all
Documentation
Overview

Documentation links for all our modules and tools

Tutorials

Get started quickly with our Tutorials!
Installation Manual

Quick-start guide and extensive installation manual
Brochures

Brochure and flyers for different applications
Other Resources
Changelog

Latest changes to our binaries
Workshops
Knowledgebank

Research highlights
FAQ

General FAQs on licensing.
Pricing and licensing

Price and licensing information.
Consulting & Support
How can we help?
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Home > Documentation

Navigate to
  • Documentation
  • Tutorials
  • Installation
Ref_third_party
  • ASE
  • BLAS
  • Boost Library
  • CBC
  • ChemTraYzer
  • CppAD
  • Eigen library
  • ffmpeg
  • FFTW
  • The Fortran Template Library (FTL)
  • GBRV pseudopotentials
  • Ipopt
  • JSON-fortran
  • LAPACK
  • LibXC
  • libxcb
  • libxkbcommon
  • Matplotlib
  • MEAD
  • MKMCXX
  • OpenBabel
  • OpenBLAS
  • Open MPI
  • Packmol
  • PIL
  • PiNN
  • PLUMED
  • PRIMME library
  • Python 3.8
  • Quantum ESPRESSO
  • RDKit
  • ScaLAPACK
  • SchNetPack
  • sGDML
  • Spglib
  • Swish-e
  • Symmol
  • Tcl/Tk
  • Tcllib, including tklib (the Tcl standard library)
  • TorchANI
  • TRAVIS
  • VTK
  • XCFun
  • XlsxWriter
Ref_third_party
  • Documentation/
  • Ref_third_party/
  • Third party software

Third party software¶

The references and required citations for the Amsterdam Modeling Suite can be found in the user manual of the specific programs.

Third party software used in the 2023.1 version of the Amsterdam Modeling Suite:

  • ASE
  • BLAS
  • Boost Library
  • CBC
  • ChemTraYzer
  • CppAD
  • Eigen library
  • ffmpeg
  • FFTW
  • The Fortran Template Library (FTL)
  • GBRV pseudopotentials
  • Ipopt
  • JSON-fortran
  • LAPACK
  • LibXC
  • libxcb
  • libxkbcommon
  • Matplotlib
  • MEAD
  • MKMCXX
  • OpenBabel
  • OpenBLAS
  • Open MPI
  • Packmol
  • PIL
  • PiNN
  • PLUMED
  • PRIMME library
  • Python 3.8
    • Numpy
    • SciPy
    • List of python dependencies
  • Quantum ESPRESSO
  • RDKit
  • ScaLAPACK
  • SchNetPack
  • sGDML
  • Spglib
  • Swish-e
  • Symmol
  • Tcl/Tk
  • Tcllib, including tklib (the Tcl standard library)
  • TorchANI
  • TRAVIS
  • VTK
  • XCFun
  • XlsxWriter
AMS Modules
Electronic Structure
ADF: molecular DFT Periodic DFT DFTB & MOPAC
Interatomic Potentials
ReaxFF ML Potentials Force Fields
Kinetics
kMC and Microkinetics Bumblebee: OLEDs
Macroscale
COSMO-RS
Application Areas
Research Topics
Batteries Biotechnology Bonding Analysis Catalysis Heavy Elements Inorganic Chemistry Materials Science Nanoscience Oil & Gas OLEDs Polymers Semiconductors Spectroscopy
Where to use AMS?
Industry Government Lab National Supercomputer Academic Research Teaching
Tools
Workflows
Conformers OLED workflows Reaction analysis Reaction discovery
AMS Driver
Hybrid Engine Molecular Dynamics Monte Carlo PES Exploration Properties
Python Utilities
ACErxn ParAMS PLAMS pyZacros
Interfaces
GUI VASP Parametrization
Documentation & Support
Downloads Documentation Videos Release notes Changelog Previous releases Workshops AMS Literature Brochure
Company
About us Careers Contact us Events News Our team Partners & Contributors Projects & Collaborations
Pricing & Licensing
Get a price quote Pricing structure Ordering License terms Resellers FAQ

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