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Matlantis is transforming the research process, enabling a next-generation development approach that fully leverages expert knowledge.
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Calculation Case Study: Analysis of the surface reaction mechanism between ALD precursors and Si substrate
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Matlantis Portable Guide

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Video Streaming

Webinars

Online2024.11.25 (JPN)

[On-Demand Webinar]
Introducing Matlantis' new features Light PFP and PFP v7

This webinar is aimed at those who are interested in Matlantis, and will introduce the origins of our PFCC and the features of Matlantis, as well as the new features Light PFP and the latest version PFP v7. Please note that the content is in English.

Apply here

Webinar Content

About PFCC
Basic characteristics and principles of Mat latnis and PFP
About Light PFP and the latest version PFP v7
- Light PFP: New functions enabling large-scale calculations
- PFP v7: Matlantis engine evolution

Presenter

2007 – 2014: B.Sc. & M.Sc. in chemistry, Jilin University, China
- Mesoporous metal oxide materials for wastewater treatment
2014 – 2019: Ph.D. in chemistry, University of Minnesota–Twin Cities, US
- Luminescent carbon-based materials for high-res bioimaging
- Assessment of environmental impacts of semiconductor nanocrystals
2020 – 2023: Senior R&D chemist, ZEON Corporation, Japan
- ML-driven factor analysis for battery binder materials
- Evaluation of CNT dispersants via Bayesian statistical programming
2023 – present: Global sales & account manager, PFCC, Japan
- Driving global sales of Matlantis, an atomic simulation SaaS powered by advanced deep learning techniques