| Field | Author(s) | Title | Journal | Volume, Issue, & Page | Year & Month | Notes |
| Polymer | Y. Maema-Anda, N. Hanada-Yamazaki, K. Yoshioka, F. Meng, T. Saida, K. Oyama, and N. Arai | Degree of polymerization controls bound/free water balance and water-holding in multifunctional amphiphilic polymer esters | Colloids Surf. A | 737 (2), 139858 | 2026/02 | |
| Surface | Q. Mo, R. Liu, F. Meng, Y. Juan, J. Li, S. Wang, N. Arai, J. Liu, W. Wang | Phase Transition and Ternary Alloying Synergistically Boosting Magnetic Field Response for Methanol Oxidation Reaction on L10-FeCrPt Nanochains | Appl. Catal. B-Environ. | | 2026/XX | accepted |
| Polymer | N. Osato, A. Yamaguchi, and N. Arai | General reverse mapping of phase-separating polymers — Bridge from DPD to atomistic MD for star-polymer assemblies | Chem. Phys. Lett. | 887, 142655 | 2026/01 | |
| Surface | T. Kojima, I. Yasuda, T. Sato, N. Arai, and K. Yasuoka | Enhanced premelting at the ice–rubber interface using all-atom molecular dynamics simulation | Langmuir | 42 (3), 2454-2461 | 2026/01 | |
| Machine Learning | M. Hamaguchi, T. Yokoyama, H. Miyake, R. Nakatake, and N. Arai | In Silico Prediction of Multi-Component Functional Material Formulations via Machine Learning Coupled with Molecular Simulation: A Case Study on Cleansing Foam Formulations | Ind. Eng. Chem. Res. | DOI: 10.1021/acs.iecr.5c03748 | 2026/01 | |
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| Field | Presenter(s) | Title | Conference | Place | Date | Notes |
| Micelle, Vesicle | H. Ikeda, A. Joko, N. Osato, and N. Arai | Approach to predicting the properties and cleansing performance of nonionic surfactants using coarse-grained molecular simulations | 2026 AOCS Annual Meeting & Expo | New Orleans, Louisiana, USA | 2026/05 | |
| Micelle, Vesicle | S. Sasaki, H. Ueno, N. Arai, K. Asakura, and T. Banno | Creation of Functional Vesicles Composed of Amphiphiles Bearing Amide Linkages with Balancing Structural Stability and Stimuli-Responsiveness | The International Chemical Congress of Pacific Basin Societies 2025 (Pacifichem2025) | Honolulu, Hawaii, USA | 2025/12 | |
| Machine Learning | L. Dong, Y. Ishiwatari, T. Yokoyama, T. Kojima, T. Banno and N. Arai | Machine Learning Prediction of Amphiphilic Self-Assembly in Aqueous Solution Informed by Critical Packing Parameters | The International Chemical Congress of Pacific Basin Societies 2025 (Pacifichem2025) | Honolulu, Hawaii, USA | 2025/12 | |
| Micelle, Vesicle | S. Yamazaki and N. Arai | Investigating Coacervate-to-Vesicle Phase Transition by Dissipative Particle Dynamics Simulation | The International Chemical Congress of Pacific Basin Societies 2025 (Pacifichem2025) | Honolulu, Hawaii, USA | 2025/12 | |
| Surface | M. Ye, F. Meng, and N. Arai | Molecular Dynamics Study on Methane Hydrate Nucleation in Premelting Layers | The International Chemical Congress of Pacific Basin Societies 2025 (Pacifichem2025) | Honolulu, Hawaii, USA | 2025/12 | |
| 「学会発表」のページから5件のアイテムを表示しています．もっと見る >> |