Machine learning prediction of self-assembly and analysis of molecular structure dependence on the critical packing parameter Y Ishiwatari, T Yokoyama, T Kojima, T Banno, N Arai Molecular Systems Design & Engineering 9 (1), 20-28, 2024 | 8 | 2024 |
Reproduction of super-multicomponent self-assembled structures and their functionality using coarse-grained molecular simulation–the example of cleansing agents T Yokoyama, H Miwake, M Hamaguchi, R Nakatake, N Arai Molecular Systems Design & Engineering 8 (4), 538-550, 2023 | 4 | 2023 |
Aggregation of amphiphilic nanocubes in equilibrium and under shear T Yokoyama, Y Kobayashi, N Arai, A Nikoubashman Soft matter 19 (34), 6480-6489, 2023 | 4 | 2023 |
Machine learning-enabled exploration of mesoscale architectures in amphiphilic-molecule self-assembly T Sudo, S Ishiai, Y Ishiwatari, T Yokoyama, K Yasuoka, N Arai Next Research, 100150, 2025 | | 2025 |