Past News

exhibition

Tokyo Big Sight2023.2.1-3 (JPN)

Scheduled to exhibit at "nano tech 2023" (Tokyo Big Sight)

Preferred Computational Chemistry (PFCC) will be exhibiting at "nano tech 2023" to be held at Tokyo Big Sight from Wednesday, February 1st to Friday, February 3rd, 2023.

For more information about nano tech 2023, please visit: https://www.nanotechexpo.jp/main/
Visitor registration URL: https://nanotech2023.jcdbizmatch.jp/jp/Registration
*Please access the above URL and register to attend.

Exhibition Booth Information

period
Wednesday, February 1, 2023 - Friday, February 3, 2023

Exhibition location
Tokyo Big Sight East Hall 1 Applied Nano Innovation Zone 1G-16

Exhibition contents
Introduction of the general-purpose atomic level simulator Matlantis, operation demonstration, and seminar in the booth

Exhibitor page
https://unifiedsearch.jcdbizmatch.jp/nanotech2023/jp/nanotech/details/rBqHMZhp0dI

In addition, on the second day of the exhibition (February 2nd), PFCC will hold a lecture titled "Japan's Easiest Guide to Materials Informatics ~ What do materials developers want from materials informatics? ~" For more information about this lecture, please click here.

New Events and Seminars

NEW

Upcoming events

Webinars

Online2026.03.17(JST)

Identifying Unknown Crystal Structures Prior to Experiments — Designing and Applying Crystal Structure Prediction with Matlantis CSP —

NEW

Upcoming events

Conferences and lectures

Institute of Science Tokyo Ookayama Campus & Online2026.3.15-18

Presented at the 73rd Spring Meeting of the Japan Society of Applied Physics

NEW

Upcoming events

Webinars

Hybrid event held on-site (Akihabara UDX) and online (Zoom)on February 25, 2026

Presentation at the 21st Materials Workshop | The true value and future prospects revealed through the thorough use of Matlantis

NEW

Past News

Webinars

zoom2026/2/16

Matlantis Webinar|Unveiling Semiconductor Processes at the Atomic Level~The Cutting Edge of AI Simulation~

Video Streaming

Webinars

OnlineOn-Demand

[On-Demand Webinar] Matlantis: Universal Atomistic Simulation for AI-Driven Materials Discovery