![project-thumbnail-img](https://www.preferred.jp/wp-content/uploads/2024/07/pfn_projects_materials-informatics.jpg)
Materials Informatics
Technologies to accelerate the development of new materials and catalysts
Overview
PFN supports companies to discover innovative materials for a sustainable future in the field of materials informatics – a combination of material science and information science that accelerates development of new materials and catalysts using machine learning and deep learning.
Feature
Matlantis™ atomistic simulator
![](https://www.preferred.jp/wp-content/uploads/2021/10/Matlantis_logo_640.png)
![](https://www.preferred.jp/wp-content/uploads/2021/10/Matlantis_simulation_screen_640.jpg)
PFN and ENEOS Corporation co-developed Matlantis™, a versatile atomistic simulator powered by deep learning. PFN and ENEOS’s joint venture Preferred Computational Chemistry launched Matlantis as a cloud-based service in July 2021 for atomic-scale investigation of material properties and computer-aided material development.
News