Event Report

exhibition

Tokyo Big Sight2023.2.1-3 (JPN)

nano tech 2023 event report

This is an event report for nano tech 2023, which was held at Tokyo Big Sight from Wednesday, February 1st to Friday, February 3rd, 2023.

Preferred Computational Chemistry (PFCC) wins Materials Award

PFCC won the "Materials Award" at nano tech2023.

Reasons for award
They have developed a technology that uses deep learning artificial intelligence to perform atomic-level physical simulations in just a few seconds, which previously took several months. They are commended for making it possible to support the development of new materials such as catalysts and solid electrolytes from a software perspective.

Publication of presentation materials

We will release the materials for the PFCC special lecture at nano tech2023.

https://www.slideshare.net/Matlantis/nanotech2023

Lecture title
The easiest guide to materials informatics in Japan
~ What do material developers want from materials informatics? ~

overview
In recent years, there has been growing attention on materials informatics (MI) as a solution that will transform the materials industry. In Japan, chemical manufacturers and others have been actively working on MI, with success stories being reported and the amount of related information increasing. On the other hand, the increase in MI-related information can make it difficult for those who are just starting out in MI to organize and get an overview of the current situation.

In this presentation, we will summarize and overview the current state of MI and introduce the positioning of the general-purpose atomic-level simulator Matlantis (our service) in that context. We also candidly discussed the motivation for taking a step into the world of MI using the case of one material developer (speaker) as an example.

New Events and Seminars

NEW

大手町9:30

ハンズオンセミナー | Matlantisで始める計算化学 〜初歩から実践まで〜

NEW

Video Streaming

Webinars

オンライン配信今すぐ視聴可能

【オンデマンド】コーディングエージェントで広がるMatlantis活用―自然言語で進める計算化学の新しいワークフロー―

NEW

Past News

Webinars

zoom7/23

Simulating Semiconductor Unit Processes with a Universal Machine-Learning Potential

Past News

Webinars

Zoom2026/6/23

Accelerating Computational Materials Design with CALPHAD, DFT, MLIPs, and AI Agents

Past News

Webinars

zoom2026/6/23

Expanding Matlantis Applications with Coding Agents: A New Workflow for computational chemistry Using Natural Language