Main Functions and Features

Details:

While maintaining the same accuracy as conventional DFT calculations, it achieves speeds of hundreds of thousands to tens of millions of times faster. Fully trained models are immediately available with no fine-tuning required.

Benefits:

You can immediately calculate the phenomenon you want to see without needing to prepare data, adjust parameters, or simplify large-scale systems to reduce calculation costs.

Details:

It covers 96 elements, including all elements that exist in nature, and the model has been trained on a wide variety of materials and structures, including bulk crystals, as well as surfaces, interfaces, and amorphous structures that are practically important in various fields.

Benefits:

Since it can handle not only adsorption energy and surface energy but also chemical reactions without being restricted by element type, it is also possible to perform reaction path analysis such as NEB calculations.

Details:

It provides a Python-based execution environment with a wide range of chemical calculation libraries, allowing repeated calculations and visualization using relatively simple notation.

Benefits:

For example, you can create material models with successively different element types, perform screening calculations using the high speed of Matlantis, and seamlessly feed the calculation results into downstream analyses, enabling efficient output tailored to your business needs.

Details:

This function allows secure connection from a company's PC. It allows integration with VSCode etc. and file sharing with in-house servers.

Benefits:

In addition to enabling integration with feature-rich integrated development environments such as VSCode and IntelliJ, it also makes it easier to integrate with internal assets such as in-house data and programs, streamlining the entire research and development flow.

Details:

As a fully-configured cloud service, Matlantis allows you to start your work instantly from a web browser—no setup required.

Benefits:

Normally, introducing new software requires a lot of effort and expertise to prepare the hardware, build the environment, and maintain it. Matlantis does not require any of that, so you can immediately perform the testing you want.

Details:

It uses a Python-based interactive development environment (JupyterLab) that has a wide range of chemical calculation libraries available. Structure visualization and GUI operation are also possible.

Benefits:

Because it is an interactive environment using Python, you can proceed with the calculation while checking the results of each operation on the spot. This makes it easy to learn even for those without much programming experience, and allows you to perform the desired simulation in a short period of time.

Details:

The high speed of Matlantis makes it possible to perform calculations with numbers of atoms and time steps that were previously impossible, enabling the observation of dynamic phenomena at the atomic level.
The figure on the left is a molecular dynamics calculation of a tribochemical reaction.

Benefits:

Microscopic phenomena at the atomic level that model an experiment can be observed prior to or immediately after the experiment. The ability to "see" at this level sparks "inspiration," driving the scientific insights needed for your next breakthrough.