Making Computational Chemistry Work For You

Advance your chemistry, materials scientists, and engineering research with the Amsterdam Modeling Suite.
Easy to employ yet powerful computational chemistry tools, with support from our experts.

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or Try the Amsterdam Modeling Suite yourself

Amsterdam Modeling Suite

Whether you research organic electronics, chemical reactions, or (nano)materials, we have the right tools for you. The Amsterdam Modeling Suite offers DFT, semi-empirical, reactive force fields and fluid thermodynamics all with an integrated GUI, a powerful AMS driver and python scripting tool PLAMS.

The SCM team is passionate about making computational chemistry work for you.
Smooth installation from a single binary on Windows, Mac or Linux means you can get start immediately with advancing your research!
Enjoy expert technical support from our developers, also during your evaluation.

Try for yourself!

Compute engines in AMS

Our powerful molecular DFT code ADF is used in many areas of chemistry and materials science. ADF is particularly strong in spectroscopy and inorganic chemistry.

The periodic DFT code BAND shares a lot of functionality with ADF. Slabs are treated as real 2D systems, and nanotubes with proper 1D periodicity. For fast calculations on dense electronic systems an interface to Quantum ESPRESSO is available.

DFTB and MOPAC are fast approximate methods to study large molecules and big periodic systems, employing DFT-based and semi-empirical data, respectively.

Reaction dynamics in large complex systems can be studied with bond order based ReaxFF.

COSMO-RS uses quantum mechanical data from ADF or quick group-contribution based predictions to predict thermodynamic properties of solutions and mixtures (LogP, VLE, pKa, …)

Making your research life easier

The passionate scientists at SCM are committed to make computational chemistry work for you. The Amsterdam Modeling Suite offers an easy integrated graphical interface to all our powerful computational chemistry engines, ranging from DFT to DFTB to reactive MD and fluid thermodynamics.

Whether you are an enthusiastic computational chemistry teacher, an academic scrutinizing the intricacies of chemical bonding, or an industrial researcher designing the next OLED materials, we have the tools for you. Browse our different compute engines, have a look at the scientific publications citing ADF, or see specific capabilities per research area.

Or reach out to us to discuss your research challenge!