The SciFM Summer School runs from July 8 to July 26. The first instance is going to be run in parallel at the University of Michigan (UM) and at Argonne National Laboratory (ANL). The focus will be on developing technical plans for specific instances for SciFMs, a hackathon to jumpstart the construction of SciFMs, as […]
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
Large Eddy Simulation of Turbulent Cavitating Flows
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
Zoom link Abstract: Simulating complex physical systems often requires joining non-uniform subsystems, which may be characterized by different geometries or mesh topologies. Coupling these separate subsystems often relies on time-intensive meshing workflows or empirical coupling models, which may not generalize well across all operational regimes. The Schwarz alternating method proposes to overcome these issues, establishing […]
This year’s focus of the Advanced Computational Science & Engineering Showcase (ACES) mini-symposium is connecting advanced algorithms, artificial intelligence (AI), and high-performance computing (HPC) architectures to advance scientific discovery. The event showcases the work of the University of Michigan faculty members at the intersection of AI, HPC, and advanced algorithms. It also includes a panel […]
Discovery of Cellular Reprogramming Methodology Through Single-cell Foundation Models
PhD in Scientific Computing director Eric Johnsen will speak about opportunities for undergraduate or master's students seeking a graduate education in Computation and Artificial Intelligence for Science and Engineering at the University of Michigan. Food will be provided. Please register to attend.
Global Geomagnetic Perturbation Forecasting with Quantified Uncertainty using Deep Gaussian Process
Foundation Model for Molecular Design