Mengyang Gu

Gu, M., He, Y., Liu, X., & Luo, Y. (2024). Ab initio uncertainty quantification in scattering analysis of microscopy. Phys. Rev. E, 110, 034601. http://doi.org/10.1103/PhysRevE.110.034601 (Original work published 09/2024AD)

Gu, M., Fang, X., & Luo, Y. (2023). Data-Driven Model Construction for Anisotropic Dynamics of Active Matter. Prx Life, 1, 013009. http://doi.org/https://doi.org/10.1103/PRXLife.1.013009 (Original work published 08/2023AD)

Luo, Y., Gu, M., Park, M., Fang, X., Kwon, Y., Urueña, J., et al. (2023). Molecular-scale substrate anisotropy, crowding and division drive collective behaviours in cell monolayers. Journal Of The Royal Society Interface, 20, 20230160. http://doi.org/10.1098/rsif.2023.0160

Fang, X., Gu, M., & Wu, J. (2022). Reliable emulation of complex functionals by active learning with error control. Arxiv. http://doi.org/10.1063/5.0121805

Luo, Y., Gu, M., Edwards, C., Valentine, M., & Helgeson, M. (2022). High-throughput microscopy to determine morphology, microrheology, and phase boundaries applied to phase separating coacervates. "Soft Matter", "18", 3063-3075. http://doi.org/10.1039/D1SM01763B (Original work published 03/2022AD)

Gu, M., Luo, Y., He, Y., Helgeson, M., & Valentine, M. (2021). Uncertainty quantification and estimation in differential dynamic microscopy. Phys. Rev. E, 104, 034610. http://doi.org/10.1103/PhysRevE.104.034610 (Original work published Sep)