The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state of the art in turbulence modeling from an academic and an industrial perspective, and place some of the newer developments in RANS modeling (such as uncertainty quantification, data-driven modeling, etc.) in the context of mainstream turbulence modeling. Speakers include: Florian […]
The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state of the art in turbulence modeling from an academic and an industrial perspective, and place some of the newer developments in RANS modeling (such as uncertainty quantification, data-driven modeling, etc.) in the context of mainstream turbulence modeling. Speakers include: Florian […]
The Center for Data-Driven Computational Physics and NASA are sponsoring the event to discuss the state of the art in turbulence modeling from an academic and an industrial perspective, and place some of the newer developments in RANS modeling (such as uncertainty quantification, data-driven modeling, etc.) in the context of mainstream turbulence modeling. Speakers include: Florian […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]
Authors Jimmy Soni and Rob Goodman will talk about their new book on U-M alum Claude Shannon: "A Mind at Play: How Claude Shannon Invented the Information Age." The talk will be followed by a book signing. Jimmy Soni is an author and editor. He has worked as an editor at The New York Observer and The Washington Examiner. He […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]
Bio: Margaret Cheung is an Associate Professor of Physics at the University of Houston. She graduated from the National Taiwan University with a bachelor’s degree in chemistry and received her Ph.D. in physics from the University of California, San Diego. She carried out theoretical biological physics and bioinformatics research as a Sloan Postdoctoral Fellow at […]
MICDE and the Graduate Program in Neuroscience have organized the first Computational Neuroscience Workshop. The goal of the event is to bring together the U-M community of neuroscientists who use computational methods in their research, and to start building new bridges across disciplines and departments. For more information and to register...