• AM Seminar: Data Driven Modeling for Scientific Discovery and Digital Twins

    Jack Baskin Engineering, 372

    Presenter: Dongbin Xiu, Professor, Ohio State University Description:We present a data-driven modeling framework for scientific discovery, termed Flow Map Learning (FML). This framework enables the construction of accurate predictive models for complex systems that are not amenable to traditional modeling approaches. By leveraging data and the expressiveness of deep neural networks (DNNs), FML facilitates long-term […]

  • AM Seminar: Multiscale Modeling of Cellular Membranes and Oncogenic Proteins

    Jack Baskin Engineering, 372

    Presenter: Liam Stanton, Professor, San Jose State University Description: In this talk, I will present a multiscale model for cellular membranes, which is trained on molecular dynamics simulations. The model is constructed within the formalism of dynamic density functional theory and can be extended to include features such as the presence of proteins and membrane […]

Last modified: Jan 14, 2026