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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.
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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. This material, discovered in the 1990s, has already been industrialized and is attracting attention worldwide as an essential material for maintaining a sustainable society. In fact, the 2025 Nobel Prize
Explainer computational chemistry
[Kyoto Univ. Prof. Kitagawa Wins the Nobel Prize in Chemistry]What is PCP / MOF? Explaining Their Impact and Significance
Around 7pm on October 8th, 2025, breaking news broke that "Professor Kitagawa of Kyoto University has won 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
Molecular Dynamics Simulations for Materials and Molecule Discovery - From Fundamental to Emerging Trends-
材料研究開発現場で注目される分子動力学シミュレーション 原子や分子の動きをリアルタイムで追跡できる分子動力学シミュレーションは、近年の計算機性能の飛躍的な向上によって、材料、化学、創薬、バイオなど、さまざまな分野の研究開発において不可欠なツールとなっています。 分子動力学シミュレーションは「圧倒的な分解能をも
MD Explainer computational chemistry
How to Choose DFT Software: Representative Software by Application and Implementation Steps
In research and development, particularly in material development, challenges arise regarding the time and cost of experiments and securing human resources. In this context, simulation-based approaches using computational chemistry are receiving attention. Specifically, DFT (Density Functional Theory), which calculates electronic states based on quantum mechanics, offers a balance between computational cost and accuracy, and its application in research and development is expanding.
DFT Explainer computational chemistry
An Introduction to Materials Informatics: From Fundamental Concepts to Cutting-Edge Research.
In the fields of materials science and pharmaceutical research and development (R&D), significant challenges persist, including the time, cost, and labor associated with experimentation and evaluation, as well as the difficulty of securing skilled personnel. In particular, traditional R&D methods, which often depend on individual experience and intuition, are reaching their limits in simultaneously achieving both development speed and precision.
Materials Informatics Explainer computational chemistry
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Matlantis, an AI materials simulation that accelerates research, is taught at the University of Tokyo's SPRING GX lectures. Doctoral students experience AI-based molecular design simulations with ENEOS.
Interview
NEW
Matlantis gave a presentation at the 26th Asian Workshop
Conference Report
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
High-Accuracy and High-Speed MOF Calculations with Matlantis - Benchmark Results of Machine Learning Interatomic Potentials -
Explainer computational chemistry
Presentation given at the 86th The Japan Society of Applied Physics autumn meeting 2025
Conference Report
[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
![[Event Report] Exhibited and presented at ACS Fall 2025](https://matlantis.com/wp-content/uploads/2025/08/title-image-scaled.jpg)
[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.
Materials Informatics Explainer computational chemistry
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