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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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What Is the Semiconductor Front-End Process? A Materials Simulation Guide to Deposition, Lithography, Etching, and CMP
Semiconductor devices are manufactured by forming nanoscale structures on silicon wafers. This involves repeating numerous processes such as film deposition, photolithography, etching, ion implantation, and planarization to create fine circuit structures on the wafer. In these manufacturing processes, the physical properties of the materials and the reactions occurring at the surface and interface significantly impact device performance and yield. In recent years, the micro-scale of devices has been a key factor.
Explainer Computational Chemistry
From Lab to Deployment: Three Computational Trends Shaping the Future of Industry at TechConnect 2026
In early March, the Matlantis US team headed down to Raleigh, NC, for TechConnect World 2026. It’s one of the largest conferences in the country for applied innovation, covering everything from advanced materials and energy to sustainability and AI. While a conference like TMS (which we headed to right afterwards, see our report here
Conference Report
Three Computational Trends Reshaping Materials Science from TMS 2026
From March 15-19, 2026, the TMS 2026 Annual Meeting was held in San Diego under clear skies, bringing together thousands of materials scientists and engineers to share the latest research findings. Our Matlantis team also joined the circle of over 4,000 participants and presented our research results. Attending numerous sessions and directly interacting with leaders who are driving
Conference Report
AI pioneers materials development through computational chemistry
This article is a blog post based on an article written by Zhang, Customer Success Engineer Matlantis Corporation, which was published in the February 2026 issue of the technical magazine "Monthly Material Stage" in the special feature "Improving the Efficiency of Materials Development Using AI and Automated Experiments." 1. Materials Development to Date Our lives have been enriched by numerous innovative materials. However,
DFT Molecular Dynamics Machine Learning Interatomic Potentials Explainer
Explainer : Why Did the AI Predict That ? Uncovering Atomic-Level Interpretability through PFP Descriptors and Shapley Values
The online proceedings for the Spring Meeting of the Japan Society of Applied Physics have been published, and it feels like the academic conference season has finally arrived. I'm sure there are many people who have submitted their proceedings and are busy preparing their presentations, and many others who are looking at the published proceedings and planning to attend. At the 86th Autumn Meeting of the Japan Society of Applied Physics last year, I gave a presentation entitled "Interpretation of predictions at the atomic level by combining PFP descriptors and Shapley values."
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
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
![[Kyoto Univ. Prof. Kitagawa Wins the Nobel Prize in Chemistry]What is PCP / MOF? Explaining Their Impact and Significance](https://matlantis.com/wp-content/uploads/2025/10/ブログ_アイキャッチMOF-1-scaled.png)
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 Chemistrychemistry
![[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 Chemistrychemistry
An Introduction to Materials Informatics: From Fundamental Concepts to Cutting-Edge Research.
Materials Informatics Explainer Computational Chemistry
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