Others
Matlantis Public Information List
Research papers on Matlntis List
| Title | Author | Year | Citation |
| Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements | So Takamoto, et al. | 2022 | Nature Communications, 13, 2991 |
| Molecular dynamics of electric-field driven ionic systems using a universal neural-network potential | Kaoru Hisama, et al. | 2022 | Computational Materials Science, 218, 111955 |
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/ |
| 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 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 |
