HomeNewsMatlantis Public Information List
Others

Matlantis Public Information List

Research papers on Matlntis List

TitleAuthorYearCitation
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements So Takamoto, et al. 2022 Nature Communications,
13, 2991

Conference Presentation List

TitleDateSpeakerLinks
Development of Innovative Molecular Simulation Method Based on Machine Learning and Its Application to Tribology ResearchOctober,
2021
ENEOS,
Tasuku Onodera et al.
Japanese Society of Tribologists
https://www.tribology.jp/indexe.htm
Network complexes with selective CO2 storage capacity using pore spaceNovember,
2021
Tokyo Institute of Technology, Kosuke Shimada
et al.
Journal of the Crystallographic Society of Japan
https://crsj.jp/en/
Theoretical Investigation of N2 Adsorption on Supported Ru Nanoparticles on Partially Reduced La0.5Ce0.5O1.75 by Neural Network Potential CalculationsDecember,
2021
Shinshu University, Gerardo Valadez Huerta et al. Annual Meeting of MRS-J
https://www.mrs-j.org/meeting2021/en/
【Invited Speech】
Case studies of Matlantis in ENEOS corporation
December,
2021
ENEOS,
Takeshi Ibuka
QPARC
https://www.qparc.qunasys.com/?lang=en
【Keynote Speech】
Rapid Screening of Catalytic Reactivity based on Universal Neural Netowrk Potential
March,
2022
Shinshu University,
Michihisa Koyama
Chemical Catalyst 2022
https://catalysisconference.mindauthors.com/march-2022/
Computer Automated Material Design by Universal Neural Network PotentialMarch,
2022
Shinshu University, Gerardo Valadez Huerta et al. The Society of Chemical Engineers, Japan
http://www3.scej.org/meeting/87a/en_index.html
【Invited Speech】
Molecular Simulation for Tribology Research: Technological Breakthrough and Application
March,
2022
ENEOS,
Tasuku Onodera
Japanese Society of Tribologists
https://www.tribology.jp/indexe.htm
NNP technology and Fugaku collaboration for Perovskite properties calculation and materials explorationMarch,
2022
ENEOS,
Hiroki Kotaka
RIKEN Center for Computational Science
https://www.r-ccs.riken.jp/en/
【Keynote Speech】
The Challenge of Low-Carbon Technology at ENEOS: Co-Developers and Users’ Perspectives on Matlantis™
March,
2022
ENEOS,
Takeshi Ibuka
The Chemical Society of Japan
https://confit.atlas.jp/guide/event/csj102nd/top

Slide
https://www.slideshare.net/Matlantis/eneosmatlantis
Pore structure design for selective CO2 adsorptionMarch,
2022
Tokyo Institute of Technology, Kosuke Shimada
et al.
The Chemical Society of Japan
https://confit.atlas.jp/guide/event/csj102nd/sessions/classlist/AP09B
【Invited Speech】
Catalyst and Materials Science in Digital Era – Leaders’ Competencies and Paradigm
May,
2022
Shinshu University,
Michihisa Koyama
Seminar at Advanced Ceramics Research Center, Nagoya Unviersity
https://www.nitech.ac.jp/eng/research/centers/index.html
Influence of base oil structures on adsorption properties of oiliness additives in metal forming fluidsMay,
2022
ENEOS, Junya Yamagishi
et al.
Japanese Society of Tribologists
https://www.tribology.jp/indexe.htm
Development of a Molecular Dynamics Method under Electric Field Based on Neural Network PotentialJune,
2022
Shinshu University, Kaoru Hisama et al. Society of Computer Chemistry, Japan
https://sites.google.com/view/sccj2022autumn/program
Catalysts Studies with Universal Neural Network PotentialJuly,
2022
Shinshu University, Gerardo Valadez Huerta et al. TOCAT9
https://tocat.catsj.jp/9/
The challenge of Materials Informatics at ENEOS: co-developers and users’ perspectives on Matlantis™July,
2022
ENEOS,
Hideki Ono
LabTech Talk
https://labaseplus-event220701.peatix.com/?lang=zh-tw

Slide
https://speakerdeck.com/sangthae/eneosniokerumateriaruzuinhuomateikusuhefalsequ-zu-mi-fan-yong-yuan-zi-reberusimiyureta-matlantisfalsegong-tong-kai-fa-zhe-はositeyuzafalseshi-dian-kara-polgong-cui-semina-20220701
Catalyst screening method using a universal neural network potentialJuly,
2022
ENEOS,
Yoshihiro Yayama et al.
TOCAT9
https://tocat.catsj.jp/9/
【Invited Speech】 Activities of Data-driven AI Laboratory and Perspectives on Cyber CatalysisSeptember,
2022
Shinshu University,
Michihisa Koyama
The Society of Chemical Engineers, Japan
http://www3.scej.org/meeting/53f/prog/en_session_ST-21.html
【Invited Speech】
An Approach to Materials Informatics by Integrating Simulation and Machine Learning: Perspectives on the Use of Innovative Simulators
September,
2022
ENEOS,
Yuya Nakajima
et al.
Symposium on Macromolecules
https://main.spsj.or.jp/tohron/71tohron/en/