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We provide easy-to-understand explanations of Matlantis terminology and the latest technology trends from an expert's perspective. We deliver information that will help you solve your problems and make new discoveries.
Editor’s PICK
High-Accuracy and High-Speed MOF Calculations with Matlantis - Benchmark Results of Machine Learning Interatomic Potentials -
Matlantis can calculate a wide range of materials, but among them, metal-organic frameworks (MOFs) are important materials with a wide range of applications, including catalysts and CO2 storage. Discovered in the 1990s, this material has already been industrialized and is attracting worldwide attention as an essential material for maintaining a sustainable society. In fact, the 2025 Nobel Prize in Chemistry
Explainer computational chemistry
[Kyoto Univ. Prof. Kitagawa Wins the Nobel Prize in Chemistry]What is PCP / MOF? Explaining Their Impact and Significance
At around 7pm on October 8th, 2025, breaking news broke that "Professor Kitagawa of Kyoto University has been awarded the Nobel Prize in Chemistry." The Matlantis User Conference 2025 was being held on the same day, and we were able to celebrate this good news with many Matlantis users and material researchers who were in attendance.
Explainer computational chemistry
The Future of Materials Science: Three Key Trends from ACS Fall 2025
The Matlantis team recently attended ACS Fall 2025, where interactions with many researchers provided a firsthand perspective on several distinct trends shaping the future of computational science. Drawing upon the insightful discussions at our exhibition booth and various presentations, we present an analysis of three trends we believe are defining the next era of innovation.
Conference Report
[Event Report] Exhibited and presented at ACS Fall 2025
As previously announced, Matlantis Corporation and Preferred Networks, Inc. participated in the "ACS Meetings & Expos / ACS Fall 2025," held from August 17th to 21st, 2025, where we hosted a booth and gave Oral and poster presentations. In this article, we'll share a look at the event with photos.
Conference Report
Molecular Dynamics Simulations for Materials and Molecule Discovery - From Fundamental to Emerging Trends-
Molecular dynamics simulation attracts attention in materials research and development. Molecular dynamics simulation, which can track the movement of atoms and molecules in real time, has become an indispensable tool in research and development in various fields, including materials, chemistry, drug discovery, and biology, thanks to the dramatic improvement in computer performance in recent years. Molecular dynamics simulation is described as "a microscope with overwhelming resolution."
MD Explainer computational chemistry
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A new model for doctoral education pioneered through industry-academia collaboration: A "new pilot case" demonstrated by Institute of Science Tokyo and Taiyo Yuden Practice School
Interview
NEW
High-Accuracy and High-Speed MOF Calculations with Matlantis - Benchmark Results of Machine Learning Interatomic Potentials -
Explainer computational chemistry
NEW
Presentation given at the 86th The Japan Society of Applied Physics autumn meeting 2025
Conference Report
NEW
[Kyoto Univ. Prof. Kitagawa Wins the Nobel Prize in Chemistry]What is PCP / MOF? Explaining Their Impact and Significance
Explainer computational chemistry
The Future of Materials Science: Three Key Trends from ACS Fall 2025
Conference Report
[Event Report] Exhibited and presented at ACS Fall 2025
Conference Report
[For Beginners] What is Density Functional Theory (DFT)? | Basics
DFT Explainer computational chemistry
![[For Beginners] What is Density Functional Theory (DFT)? | Basics](https://matlantis.com/wp-content/uploads/2025/08/top_eyecatch-01-scaled.jpg)
Molecular Dynamics Simulations for Materials and Molecule Discovery - From Fundamental to Emerging Trends-
MD Explainer computational chemistry
How to Choose DFT Software: Representative Software by Application and Implementation Steps
DFT Explainer computational chemistry
An Introduction to Materials Informatics: From Fundamental Concepts to Cutting-Edge Research.
MI Explainer computational chemistry
Accelerating free energy calculations using molecular dynamics with the MN-Core 2 deep learning processor
Free energy estimation using a diffusion model
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