Frequently Asked Questions

Matlantis can typically handle systems ranging from a few thousand to several tens of thousands of atoms, depending on the computational requirements. For example, in the case of Pt (fcc), up to 44,000 atoms can be processed in a single simulation.

• What is Our AI Model, PFP?

Matlantis incorporates Grimme’s DFT-D3 dispersion corrections to accurately model van der Waals and other non-covalent interactions.

• https://www.chemie.uni-bonn.de/grimme/de/software/dft-d3

Since the release of PFP v6.0.0, the maximum cutoff distance has been increased to 9 Å, but the cutoff is adjusted depending on the density of the system.

Yes. Matlantis is accurate and flexible enough to simulate monomer reactivity and polymer substructures. It also supports systems containing both organic and inorganic elements.

Matlantis supports integration with ASE and LAMMPS*. We provide detailed tutorials and documentation to help you implement them within the Matlantis environment.

*Available as a trial version

• https://wiki.fysik.dtu.dk/ase/
• https://www.lammps.org/#gsc.tab=0

In Matlantis, simulations are configured by writing Python code in a JupyterLab environment.

Matlantis runs entirely in the cloud, so there are no specific hardware requirements for users. You can access your tenant environment from any standard device—such as a laptop—with a Google account or Azure AD authentication and a standard network connection.

Please contact our sales team to learn more about Matlantis pricing plans.

Matlantis is currently available in select regions across North America, Europe, and Asia Pacific. If you would like to check availability in your specific country or region, please contact our sales team.