Announcement of New Code Execution Feature in Atomistic Simulation Tutorial

We are pleased to announce that PFCC has added a code execution feature using Google Colab to our online learning material, “Atomistic Simulation Tutorial“. This new feature makes it even easier for everyone to learn computational chemistry using Python.

What is “Atomistic Simulation Tutorial”?

The Atomistic Simulation Tutorial (AST) is an online learning material designed for users to learn computational chemistry and simulation techniques at the atomic and molecular scales. This tutorial is targeted at a broad range of users from beginners to experts in computational chemistry who are interested in computational chemistry using Python. It covers a wide variety of simulation techniques at the code level, from quantum chemistry calculations such as energy calculations to time-evolving Molecular Dynamics (MD) simulations.

Newly Added Features and Updated Design

In this update, we have added a feature that integrates Google Colab, allowing you to execute AST codes directly on Google Colab. This eliminates the need to set up your own execution environment, making it easier to verify the code’s functionality. Although the core technology of Matlantis, Preferred Potential (PFP), cannot be used, you can use common libraries like ASE to edit and run the codes within the tutorial. This allows you to practice the actual flow of calculations while learning.

In addition to this new feature, we have also revamped the design. Please check out the new look through the link below:
Atomistic Simulation Tutorial

Our material is not only for those who want to use Matlantis, but also for anyone who wants to venture into the field of computational chemistry. We will continue to make updates to further improve its usability.

Contact

If you encounter any operational issues, please contact us via the inquiry form at the top right corner. We look forward to your continued support for Matlantis and the Atomistic Simulation Tutorial.