Hiraide, K., Oya, Y., Hirayama, K., Endo, K., Muramatsu, M., ” Development of deep learning model for phase separation structure of diblock copolymer based on self-consistent field analysis”, Advanced Composite Materials, Vol. 00, pp. 00 1-14, Accepted (2024).
カテゴリー: Artificial Intelligence for Experiments of Microstructures
Hiraide, K., Oya, Y., Suzuki, M., Muramatsu, M., “Inverse design of polymer alloys using deep learning based on self-consistent field analysis and finite element analysis”, Materials Today Communications, Vol. 37, pp. 107233, 1-14, (2023).
Sasaki, K., Hirayama, K., Endo, K., Muramatsu, M., Murayama, M., “Nanoscale Defect Evaluation Framework Combining Real-Time Transmission Electron Microscopy and Integrated Machine Learning-Particle Filter Estimation”, Scientific Reports, Vol. 12, pp. 10525, 1-10, (2022).