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Matlantis Public Information List
Research papers on Matlantis List
Conference Presentation List
Title | Date | Speaker | Links |
Development of Innovative Molecular Simulation Method Based on Machine Learning and Its Application to Tribology Research | October, 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 space | November, 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 Calculations | December, 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 Potential | March, 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 exploration | March, 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 adsorption | March, 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 fluids | May, 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 Potential | June, 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 Potential | July, 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 potential | July, 2022 | ENEOS, Yoshihiro Yayama et al. | TOCAT9 https://tocat.catsj.jp/9/ |
【Invited Speech】 Activities of Data-driven AI Laboratory and Perspectives on Cyber Catalysis | September, 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 Sampling | December, 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 exploration | December, 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 Exploration | March, 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 potential | March, 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 Configurations | May, 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 verification | May, 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 effects | May, 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 information | June, 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 Simulators | June, 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 Potential | September, 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) |