HomeNewsMatlantis Public Information List
Others

Matlantis Public Information List

Research papers on Matlantis List

TitleAuthorYearCitation
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elementsSo Takamoto, et al. 2022Nature Communications,
13, 2991
Molecular dynamics of electric-field driven ionic systems using a universal neural-network potential Kaoru Hisama,
et al.
2022Computational Materials Science, 218, 111955
Innovation in Molecular Simulation Technologies for Tribology Using Artificial Intelligence Tasuku Onodera 2022Tribologist, 67, 821-829
Effect of HFO Refrigerants on Lubrication Characteristics (Part 1) -Tribological Characteristics under Refrigerant Atmosphere and Adsorption Characteristics on Nascent Metal Surface- Yuji Shitara and Shigeyuki Mori 2022Tribologist, 67, 662-671
Effect of HFO Refrigerants on Lubrication Characteristics (Part 2) -Adsorption Characteristics of Various Refrigerants on Nascent Iron Surfaces and Molecular Simulation Analysis- Yuji Shitara,
et al.
2023Tribologist, 68, 280-291
Quantum Annealing Boosts Prediction of Multimolecular Adsorption on Solid Surfaces Avoiding Combinatorial Explosion Hiroshi Sampei,
et al.
2023JACS Au, 3, 991–996
Assessing the Reactivity of the Na3PS4 Solid-State Electrolyte with the Sodium Metal Negative Electrode Using Total Trajectory Analysis with Neural-Network Potential Molecular Dynamics Lieven Bekaert,
et al.
2023J. Phys. Chem. C, 18, 8503–8514
On the Thermodynamic Stability of Alloys: Combination of
Neural Network Potential and Wang-Landau Sampling
Tien Quang Nguyen, et al. 2023J. Comput. Chem. Jpn., 21, 111–117
Using GPT-4 in Parameter Selection of Materials Informatics: Improving Predictive Accuracy Amidst Data Scarcity and ‘Ugly Duckling’ Dilemma Kan Hatakeyama, et al. 2023
CO Adsorption on Ternary Nanoalloys by Universal Neural Network PotentialAyako TAMURA,
et al.
2023J. Comput. Chem. Jpn., 21, 129-133
Increasing the Sodium Metal Electrode Compatibility with the Na3PS4 Solid-State Electrolyte through Heteroatom Substitution Lieven Bekaert,
et al.
2023ChemSusChem2023, e202300676
Evolutionary search for superconducting phases in the lanthanum-nitrogen-hydrogen system with universal neural network potential Takahiro Ishikawa, et al. 2023 arXiv, 2312.01290
Boron coordination and three-membered ring formation in sodium borate glasses: a machine-learning molecular dynamics studyTakeyuki Kato, et al2023J Am Ceram Soc, 2023;1–13.
Exploration of elastic moduli of molecular crystals via database screening by pretrained neural network potentialTakuya Taniguchi 2024CrystEngComm, 2024,26, 631-638
Exploration of the mechanical properties of carbon-incorporated amorphous silica using a universal neural network potentialHiroki Sakakima etc2024J. Appl. Phys. 135, 085104 (2024)
Proton Conduction over the Zeolite with Surface Water Cluster for the Water Electrolysis at Neutral ConditionKeigo Tashiro etc2024

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/
Catalytic Properties of N2 on Ru/La0.5Ce0.5O1.75-x revealed by a Universal Neural Network
Potential
November,
2022
Shinshu University, Kaoru Hisama et al. Society of Computer Chemistry, Japan
https://sites.google.com/view/sccj2022autumn/
On the Thermodynamic Stability of Alloys: Combination of Neural Network Potential and
Wang-Landau Sampling
November,
2022
Shinshu University,
Tien Quang Nguyen et al.
Society of Computer Chemistry, Japan
https://sites.google.com/view/sccj2022autumn/
Frictional properties of polymer in the aspect of the adsorption characteristics of lubricant additives ~Analysis with novel AI simulator~November,
2022
ENEOS,
Rui Ogata
et al.
Japanese Society of Tribologists
https://www.tribology.jp/indexe.htmm
Analysis of the Behavior of Extreme Pressure Additives on Metal Surfaces by Molecular Dynamics Using Neural Network Potential November,
2022
University of Hyogo
Tomohito Horio
et al.
Japanese Society of Tribologists
https://www.tribology.jp/indexe.htmm
Influence of Base Oil Composition on Metalworking Fluid Performance November,
2022
ENEOS, Junichi Shibata
et al.
Japanese Society of Tribologists
https://www.tribology.jp/indexe.htmm
Development of a Screening Scheme for Exploring Li-ion Battery Cathode Materials: Combination of Neural Network Potential and Wang-Landau SamplingDecember,
2022
Shinshu University,
Tien Quang Nguyen et al.
32nd Annual Meeting of MRS-J
https://www.mrs-j.org/meeting2022/en/
Development of universal machine learning potential and the application to elucidation of catalytic mechanisms and materials explorationDecember,
2022
ENEOS,
Yoshihiro Yayama and Tasuku Onodera
Catalysis Society of Japan
https://www.simulation.imr.tohoku.ac.jp/CACatal/index.html
【Invited Speech】
Molecular simulation technology and its application to lubricants research
December,
2022
ENEOS,
Tasuku Onodera
The Japan Petroleum Institute
https://www.sekiyu-gakkai.or.jp/en/index.html
【Invited Speech】 Innovative Ultrafast AI Molecular Simulator for Catalyst ExplorationMarch,
2023
ENEOS,
Yoshihiro
Yayama
Osaka University The Institute of Scientific and Industrial Research
Techno salon Speech
https://www.sanken.osaka-u.ac.jp/labs/air/techno_salon/2022FY.html#technosalon_r4_3
(Japanese)
【Invited Speech】
The Role of AI in Tribomolecular Simulation
March,
2023
ENEOS,
Tasuku Onodera
The 30th Workshop on Application of Molecular Simulation
to Tribology
https://www2.kaiyodai.ac.jp/~kentaro/MD_meeting/
(Japanse)
【Invited Speech】
ENEOS R&D using Matlantis and collaboration with the Fugaku Project
March,
2023
ENEOS,
Hiroki Kotaka
Fugaku” Accelerated Research Creation Program “Fugaku Hyakkei” Research Exchange Meeting
https://fugaku100kei.jp/events/kasoku/2022_rem/
Reaction dynamics of ZnDTP lubricant additive using neural network potentialMarch,
2023
University of Hyogo,
Hajin Horio
et al.
Foundation for Computational Science 1st Annual Conference on Simulation of Soft Materials Engineering
https://www.j-focus.or.jp/event_seminar/entry-3038.html
Quantum Annealing Inspired Fast and Accurate Search for Multi-Molecular Adsorption ConfigurationsMay,
2023
Waseda University,
Hiroshi Sanpei et al.
The 19th Korea-Japan Symposium on Catalysis
http://www.kjsc2023.com/venue.html
Clustering of atoms based on chemical properties considering the surrounding environment and its application to accuracy verificationMay,
2023
ENEOS,
Yuya Nakajima et al.

The 25th Annual Meeting of JSTC, 2023 Yokohama
https://www.tribology.jp/conference/tribology_conference/23tokyo/
In silico screening of base oil structures to elicit additive effectsMay,
2023
ENEOS,
Tasuku Onodera et al.
Tribology Conference 2023 Spring Tokyo
https://www.tribology.jp/conference/tribology_conference/23tokyo/
Effect of HFO Refrigerant on Lubrication Characteristics and Adsorption Behavior on Newly Developed Surfaces (Report 2)May,
2023
ENEOS,
Yuji Shitara et al.
Tribology Conference 2023 Spring Tokyo
https://www.tribology.jp/conference/tribology_conference/23tokyo/
Development of an automatic identification method for compounds using quantum chemical calculations and various spectral informationJune,
2023
Waseda University,
Takumi Kubagaya et al.
Society of Computer Chemistry, Japan
https://www.sccj.net/events/nenkai/2023sp/
Materials Development DX Initiatives Using AI SimulatorsJune,
2023
ENEOS,
Hideki Ono
Annual ARC Industry Forum Asia 2023 Japan
https://dev.arcweb.com/arc-japan/arc-industry-forum-tokyo
(Japanese)
Analysis of Adsorption and Reaction Dynamics of Organometallic Additives on Metal Surfaces by Molecular Dynamics Simulation Using Neural Network PotentialSeptember,
2023
ENEOS,
Tasuku Onodera et al.
Kansai Lubricants Roundtable Meeting 2023 September
Regular meeting, Osaka
https://www.maizuru-ct.ac.jp/control/noma/kansai_jyunkon/index_2009.html
(Japanese)
Polymer material development by integrating AI simulator MATLANTIS and numerical simulation September,
2023
ENEOS,
Takashi Kojima
The Chemical Society of Japan Kanto branch
Cutting Edge of Materials Informatics – Application to Chemical Industry
https://kanto.csj.jp/event/2023/05301319002967/
(Japanese)
Automated Reaction Pathway Search on Oxide Surfaces Using Machine Learning Potentials: Comparison of Methane Complete Oxidation Pathway Networks on PdO(101) and β-MnO2(110) Surfaces September,
2023
Hokkaido University,
Satoshi Maeda et al.
The 17th Annual Meeting of Japan Society for Molecular Science 2023, Osaka
https://www.molsci.jp/2023_en/
Search for superconductivity in the lanthanum-nitrogen-hydrogen system by coupling Matlantis with evolutionary algorithms September,
2023
Tokyo University,
Takahiro Ishikawa et al.
The 78th Annual Meeting of Physical Society of Japan, Miyagi
https://www.jps.or.jp/english/
Development of a method for searching adsorption structures on catalyst surfaces using quantum computing technology September,
2023
Waseda University,
Hiroshi Sanpei et al.
The 132th Meeting of Catalysis Society of Japan
https://catsj132.infotecs.jp/program202308/
(Japanese)