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SUMMARY:SciFM24 Summer School
DESCRIPTION: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 an incubator for ideas\, a training ground for researchers and students\, and further a vision for a national SciFM ecosystem.
URL:https://micde.umich.edu/event/workshop-seminarscifm24-summer-school/
CATEGORIES:Aerospace Engineering,College Of Engineering,Computational Science,Engineering,Micde,Scientific Computing,Sciml,Workshops
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DTSTART;TZID=America/Detroit:20240419T110000
DTEND;TZID=America/Detroit:20240419T120000
DTSTAMP:20240412T140752Z
CREATED:20240412T011911Z
LAST-MODIFIED:20240412T140752Z
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SUMMARY:MICDE Fellowships Information Session
DESCRIPTION:Applications for the $4\,500 2024-2025 MICDE Graduate Fellowships will open May 1\, 2024. Please join this Zoom session to learn more about the fellowships and how to submit a great application! \nThese fellowships are sponsored by the Michigan Institute for Computational Discovery & Engineering. For more information\, see https://live-umor-micde.pantheonsite.io/academic-programs/fellowships/.
URL:https://micde.umich.edu/event/livestream-virtualmicde-fellowships-information-session/
LOCATION:Zoom Event
CATEGORIES:Aerospace Engineering,Ai In Science And Engineering,Astronomy,big data,Biomedical Engineering,Biosciences,Biostatistics,Chemical Engineering,Chemistry,Civil and Environmental Engineering,Climate and Space Sciences and Engineering,College Of Engineering,Complex Systems,Computation,Computational Modeling,Computational Science,Computational Social Science,computer science,Data Science,Earth And Environmental Sciences,Ecology,Ecology And Evolutionary Biology,Economics,Education,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Epidemiology,Evolutionary Biology,Fellowship,Free,Funding,Generative Ai,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Data,High Performance Computing,Industrial and Operations Engineering,Interdisciplinary,Kinesiology,Life Science,Lsaresearch,Machine Learning,Materials Science,Mathematics,Mechanical Engineering,Medicine,Micde,Natural Language Processing,Natural Sciences,Naval Architecture and Marine Engineering,Neuroscience,Nuclear Engineering and Radiological Sciences,parallel computing,Pharmacy,Physics,Politics,Prospective Graduate Students,Psychology,Public Health,Public Policy,Rackham,Research,Robotics,Scholarship,Science,Scientific Computing,Sciml,Sociology,Statistics,Virtual,Webcast,Workshops
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DTSTART;TZID=America/Detroit:20231207T150000
DTEND;TZID=America/Detroit:20231207T160000
DTSTAMP:20231215T040145Z
CREATED:20231106T145227Z
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SUMMARY:MICDE Faculty seminar: Philip Roe\, Emeritus Professor\, Aerospace Engineering U-M
DESCRIPTION:Zoom link \nBio:  Philip Roe is an Emeritus Professor of Aerospace Engineering at the University of Michigan. He is recognized for his pioneering work in the field of Computational Fluid Dynamics and Magnetohydrodynamics. Roe made many fundamental contributions to the development of high-resolution schemes for hyperbolic conservation laws. He is best known for his work on the flux difference splitting for compressible flows with shocks\, typically referred to as the Roe scheme. \nMusings of a Computational Philosopher\nPhilosophy sets a great story by asking the right questions. Indeed a correct answer to the wrong question is seldom of any value. You can even obtain tenure\, I am told\, by asking questions that you cannot yet answer. For the past decade\, I have been trying to ask the right questions about computing compressible flow\, and I hope here to provide a glimpse of the answers. \nA “good” algorithm should “obviously” be accurate\, cheap\, and robust. Of these three desiderata\, I will try here to clarify the notion of accuracy. Although clearly a good thing\, it is almost always defined asymptotically in terms of the behavior at small mesh size or low frequency. This sets precise goals for analysis\, and although accuracy can be achieved in this sense\, in practice we often cannot afford the asymptotic regime. Moreover\, when we deal with compressible flow\, we are forced to deal with high frequencies. We require in fact only rather modest accuracy at low frequency\, but must extend this into the high frequency regime\, and doing this will require answering different questions. I will discuss a double-pronged approach to finding these questions and their answers. \nThis approach demands that the information flow in the computer should closely match that in real life. A great advance toward this was made by introducing Godunov-type methods\, but these merely distinguish left from right\, and their reliance on one-dimensional physics has many drawbacks. However\, for many kinds of problem there are integral solutions to the linear initial-value problem in multiple dimensions. My first prong is to show how these can be used to derive algorithms for linear and nonlinear problems for compressible fluid flow and other applications. These algorithms have remarkable properties\, including true incompressible limits and automatic boundary conditions. The information flow is different for advective and non-advective modes of the solution. \nAs a second way to achieve correct information flow\, I employ solution derivatives as degrees of freedom. This Hermitian representation is common in computer graphics and signal processing but almost unknown in CFD. Its great benefit consists of keeping the stencil compact. This brings about sharp discontinuities\, extends the spectrum and reduces communication overheads. Recently\, with my graduate student Iman Samani\, I have used both prongs of my approach to produce fifth-order solutions for linear elastodynamics on unstructured grids with automatic handling of material interfaces and remote boundaries. I will present these results\, summarize what remains to be done and describe some target applications.
URL:https://micde.umich.edu/event/micde-faculty-seminar-philip-roe-emeritus-professor-aerospace-engineering-u-m/
LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Aerospace Engineering,Micde Seminar,MICDE Seminar Series,Michigan Engineering
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DTSTART;TZID=America/Detroit:20231002T160000
DTEND;TZID=America/Detroit:20231002T170000
DTSTAMP:20231013T144409Z
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SUMMARY:MICDE / ME Seminar:  Olivier Desjardins\, Professor of Mechanical and Aerospace Engineering at Cornell University
DESCRIPTION:Bio: Olivier Desjardins is a Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University. He joined the Cornell MAE faculty in July 2011. Prior to that\, he was on the Mechanical Engineering faculty at the University of Colorado at Boulder. He received a Master of Science in Aeronautics and Astronautics from ENSAE (Supaero) in Toulouse\, France\, in 2004. The same year\, he received a Master of Science in Mechanical Engineering from Stanford University\, then in 2008 he obtained a Ph.D. in Mechanical Engineering from Stanford University. He received an NSF CAREER award in 2014 to work on turbulence modeling around liquid-gas interfaces\, and he was presented with the Junior Award from the International Conference on Multiphase Flow in 2016. \nResearch Interests: Prof. Desjardins’ research focuses on large-scale numerical modeling of turbulent reacting multiphase flows with industrial application. Using world-class parallel computers\, his group develops numerical methods and models to investigate the multi-scale and multi-physics fluid mechanics problems that arise in a range of engineering devices\, such as combustors or biomass reactors. \nHigh-fidelity computational techniques such as large-eddy simulations and direct numerical simulations are at the heart of Dr. Desjardins’ research. By enabling the exploration of complex non-linear flow physics from first principles\, these techniques have the potential to guide the development of highly optimized energy and propulsion systems. \nMulti-scale modeling of topology change in multiphase flow simulations\nLiquid atomization and spray formation are ubiquitous processes in nature as well as engineered system. Predicting droplet size distributions from first principle simulations presents a fantastic challenge due to the wide range of scales involved in topology change. In this talk\, we present new developments to the geometric volume of fluid method that enable the tracking of sub-grid scale interfacial features. By reconstructing the interface with multiple planar surfaces or with paraboloid surfaces\, we show that ligaments and sheets can be represented accurately independently of mesh resolution while preserving exact conservation\, good computational efficiency\, and easy integration with finite-volume-based flow solvers. A consequence of such strategies is that lack of mesh resolution no longer induces topology change\, which then needs to be reintroduced explicitly using physics-based models. We discuss various flavors of such models in the context of the break-up of thin liquid films\, a common feature in aerodynamic liquid atomization. \n  \n\n  \nThe MICDE Fall 2023 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Mechanical Engineering (ME). Prof. Desjardins will be hosted by Dr. Jesse Capecelatro\, Associate Professor of Mechanical and Aerospace Engineering. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/workshop-seminarmicde-me-seminar-olivier-desjardins/
LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Aerospace Engineering,College Of Engineering,Mechanical Engineering,Micde Seminar,MICDE Seminar Series
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