[1] Mastracco, P., & Copp, S. M. (2023). Beyond nature’s base pairs: machine learning-enabled design of DNA-stabilized silver nanoclusters. Chemical Communications, 59(69), 10360-10375. PDF
[2] Gu, M., Fang, X., & Luo, Y. (2023). Data-driven model construction for anisotropic dynamics of active matter. PRX Life, 1(1), 013009. PDF Code
[3] Gu, M., Lin, Y., Lee, V. C., & Qiu, D. Y. (2024). Probabilistic forecast of nonlinear dynamical systems with uncertainty quantification. Physica D: Nonlinear Phenomena, 457, 133938. PDF Code
[4] Fang, X., Murphy, E., Kohl, P., Li, Y., Hawker, C., Bates, C., & Gu, M. (2024). Universal Phase Identification of Block Copolymers from Physics-informed Machine Learning. Chemrxiv Preprint, DOI: 10.26434/chemrxiv-2024-9zjt0. PDF Code
[5] Gu, M., He, Y., Liu, X., & Luo, Y. (2024). Ab initio uncertainty quantification in scattering analysis of microscopy. Physical Review E, 110(3), 034601. DOI: 10.1103/PhysRevE.110.034601. PDF Code