A machine learning approach to designing and understanding tough, degradable polyamides
Y. Amamoto, C. Koganemaru, K. Kojio, A. Takahara, S. Yamamoto, K. Okazawa, Y. Tsuji, T. Aritake, and K. Terayama npj Comput. Mater. 11, 198 (2025).
Understanding the transition from reversed to conventional conductance decay in single-molecule wires from the effective Hamiltonian and frontier orbital perspective
K. Okazawa, Y. Tsuji, and K. Yoshizawa Bull. Chem. Soc. Jpn. 98, uoaf040 (2025).
High-performance QM/MM Enhanced Sampling Molecular Dynamics Simulations with GENESIS SPDYN and QSimulate-QM
K. Yagi, K. Gunst, T. Shiozaki, and Y. Sugita J. Chem. Theory Comput. 21 4016-4029 (2025).
Fermi resonance in the radiative vibrational cooling dynamics of N2O+
S. Harayama, S. Kuma, N. Kimura, K. C. Chartkunchand, M. Baba, T. Murakami, T. Takayanagi, K. Yagi, T. Yamaguchi, Y. Nakano and T. Azuma Phys. Rev. A, 111, 032803 (2025).
Efficient Training of Neural Network Potentials for Chemical and Enzymatic Reactions by Continual Learning
Y.-K. Lei, K. Yagi, and Y. Sugita J. Chem. Theory Comput. 21, 2695-2711 (2025).
Gold(I)-Catalyzed [2 + 2] and [3 + 2] Cycloadditions of 1,1-Difluoroallenes with Aldehydes: Switchable Syntheses of Fluorinated Oxetanes and Furans
D. Miyazaki, K. Kudo, Y. Fujiki, N. Watanabe, T. Matsui, J. Ichikawa, and K. Fuchibe Org. Lett. 27 3807-3812 (2025).
Similarity scores of vibrational spectra reveal the atomistic structure of pentapeptides in multiple basins
H. Otaki, S. Ishiuchi, M. Fujii, Y. Sugita and K. Yagi Phys. Chem. Chem. Phys. 26, 9906-9914 (2024).
Suzuki-Miyaura cross-coupling reaction catalyzed by [R3Si-IPr]Pd complexes: a computational study
T. Matsui, J. Fujiwara, N. Fukaya and V. Ya. Lee Mendeleev Commun. 34, 1-5 (2024).
Assessment of the Applicability of the LFC/3D-RISM-SCF Scheme for pKa Prediction in Methanol Solutions
R. Fujiki, T. Matsui, Y. Shigeta, N. Yoshida, H. Nakano Chemistry Letters, 53, upad09 (2024).