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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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SUMMARY:Taking the Next Step: Graduate Studies in Computation/AI for Science and Engineering at U-M
DESCRIPTION: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. \nPlease register via the link: https://sessions.studentlife.umich.edu/p/track/12857 \nZoom option available after registering.
URL:https://micde.umich.edu/event/taking-the-next-step-2024/
LOCATION:GG Brown Laboratory – 2147
CATEGORIES:Aerospace Engineering,Ai In Science And Engineering,Artificial Intelligence,Astronomy,Biology,Biomedical Engineering,Biosciences,Biostatistics,Chemical Engineering,Chemistry,Civil and Environmental Engineering,Climate and Space Sciences and Engineering,College Of Engineering,Complex Systems,Computation,Computational Science,Computational Social Science,computer science,computing,Earth And Environmental Sciences,Ecology And Evolutionary Biology,Economics,Education,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Epidemiology,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,High Performance Computing,Industrial and Operations Engineering,Interdisciplinary,Kinesiology,Machine Learning,Materials Science,Mathematics,Mechanical Engineering,Medicine,Micde,Michigan Engineering,Naval Architecture and Marine Engineering,Neuroscience,Nuclear Engineering and Radiological Sciences,Pharmacy,Physics,Politics,Prospective Graduate Students,Psychology,Public Health,Public Policy,Rackham,Research,Robotics,Scientific Computing,Statistics,Talk,Undergraduate,Undergraduate Students,Virtual,Workshop
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/10/Happening@UM.png
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DTSTART;TZID=America/Detroit:20241111T121500
DTEND;TZID=America/Detroit:20241111T131500
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CREATED:20240924T215158Z
LAST-MODIFIED:20250107T180016Z
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SUMMARY:Ph.D. in Scientific Computing Student Seminars: Vishal Subramanian / Heting Fu
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we request that all who plan to attend register in advance. \nIf you have any questions\, please email micde-phd@umich.edu. \n\nAccelerating Fock exact exchange calculations using Tucker Tensor techniques \nDensity Functional Theory (DFT) is widely used to predict the electronic structure and properties of a broad range of materials. Although exact in theory\, DFT simulations rely on exchange-correlation (Exc) functionals that are approximated in practice. The accuracy of DFT calculations is solely dependent on the accuracy of the Exc functionals. Hybrid exchange-correlation functionals are a class of functionals that have been shown to match experimental observations more closely compared to other Exc functionals. However\, the use of hybrid Exc functionals necessitates the computation of Fock exact exchange\, significantly increasing the computational cost. Furthermore\, the nature of Fock exact exchange demands a substantial increase in memory requirements and communication across processors. The latter is a serious issue as it affects the scalability of the code\, restricting routine simulations to a few tens of atoms. In this work\, we have developed a Tucker Tensor-based approach that significantly reduces the computational cost of Fock exact exchange calculations. We have incorporated an innovative communication pattern that reduces communication without significantly increasing peak memory usage. Consequently\, we have developed a robust\, efficient\, and scalable algorithm that achieves an order-of-magnitude speedup over the current state of the art. \nVishal Subramanian (Materials Science & Engineering and Scientific Computing) \nVishal Subramanian is a PhD candidate in the Materials Science and Engineering department. He is interested in harnessing the power of linear algebra and high-performance computing to develop robust\, and efficient algorithms that can compute material properties accurately. His work with Prof. Gavini’s group developing algorithms and scalable implementations for fast density functional theory (DFT) calculations on large-scale systems earned him the 2023 Gordon Bell Prize – the highest honor given in high-performance computing. \n\nTopology Optimization for Die Casting with Nonplanar Parting Surfaces \nThis talk presents a density-based topology optimization method for the simultaneous design of die-castable geometry\, die drawing directions\, and arbitrarily nonplanar parting surface. Viewing a die casted part as a two-component system consisting of the cavities of die halves\, an arbitrarily nonplanar parting surface is represented as the boundaries between adjacent partitioned domains similar to the joints in multi-component topology optimization (MTO). The draw direction of each die half is represented as a probability distribution to avoid premature convergence\, and the undercut of a part geometry in the draw direction is evaluated using the gradient of the density field. Several numerical examples are presented to demonstrate the advantages of the inclusion of nonplanar parting surfaces as optimization variables. \nHeting Fu (Mechanical Engineering and Scientific Computing) \nHeting Fu is a Ph.D. candidate under the guidance of Professor Kazuhiro Saitou in Mechanical Engineering. His research involves multi-component\, multi-material\, and multi-process topology optimization.
URL:https://micde.umich.edu/event/workshop-seminarph-d-in-scientific-computing-student-seminars-6/
LOCATION:Undergraduate Science Building – 1250
CATEGORIES:Micde,Phd Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2024/09/Vishal-Subramanian-Heting-Fu.png
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20241118T121500
DTEND;TZID=America/Detroit:20241118T131500
DTSTAMP:20260604T122443
CREATED:20240924T215200Z
LAST-MODIFIED:20241101T183341Z
UID:10000770-1731932100-1731935700@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminars
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public\, but we request that all who plan to attend register in advance. \nIf you have any questions\, please email micde-phd@umich.edu.
URL:https://micde.umich.edu/event/workshop-seminarph-d-in-scientific-computing-student-seminars-12/
LOCATION:Undergraduate Science Building – 1250
CATEGORIES:Micde,Phd Seminar
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