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SUMMARY:MICDE Seminar: Ramanathan Vishnampet\, Senior Research Engineer\, ExxonMobil Upstream Integrated Solutions
DESCRIPTION:Bio: Ramanathan Vishnampet is a Computational Data Scientist at the Global Business Lines Analytics & Optimization group at ExxonMobil Upstream Integrated Solutions. He graduated with a Ph.D. in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign\, where his dissertation focused on an exact and consistent adjoint method for high-fidelity discretization of the compressible flow equations. Ramanathan started as a Senior Research Engineer at ExxonMobil in 2015\, where he worked in the Process Stratigraphy team\, an integrated team including Computational Scientists\, Geoscientists\, Seismic Interpreters\, and Stratigraphers. He helped develop a physics-based stratigraphic model for studying deepwater stratigraphy and showed the emergence of chaotic dynamics and self-organization that limit the ability of traditional model inversion techniques to be applied to the forward model. In his current team\, Ramanathan is working on a scheduling problem for ExxonMobil’s Unconventionals asset base using heuristics and discrete optimization. He is also leading his section’s efforts in adopting lean and agile software development practices\, cloud-based deployment using a service architecture\, and DevOps processes. Ramanathan’s hobbies include cooking\, traveling\, and spending time with his daughter. \nPrediction under chaos using a depth-averaged model of turbidity currents\nIn this talk\, I will demonstrate a forward stratigraphic model based on depth-averaged governing equations for the flow of submarine turbidity currents over an erodible bed. This model is being used with some success by the Process Stratigraphy team at ExxonMobil to generate stratigraphic models for deepwater environments of deposition. The mathematical model consists of a system of nonlinear hyperbolic PDEs\, with an additional so-called Exner equation for modeling the flow-bed sediment exchange and their bedload transport. The Exner equation plays a key role since a (slow time scale) change in the gradient of the bed influences the (fast time scale) momentum of the flow. The transport equations\, along with closure models for sediment transport\, TKE balance\, and water entrainment\, are solved using a first-order finite-volume method with a HLLC approximate Riemann solver and integrated using an explicit Euler scheme. The model shows the emergence of self-organized patterns in the deposits\, including the creation of bedforms\, channel formation\, and avulsions\, consistent with observations of modern systems and lab experiments. These occur even with uniform boundary conditions and symmetric initial conditions. The initial disturbances that trigger these mechanisms are ostensibly sourced by floating-point roundoff errors. An ensemble of simulations with slightly different initial conditions are used to analyze statistics on shapes of geomorphic elements and grain size distributions. The objective is to assess whether and under what conditions such a numerical model can be predictive and quantify the uncertainty in the results arising due to the irreducible chaos in the dynamical system. \nDr. Vishnampet is being hosted by Prof. Capecelatro (ME). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu.  
URL:https://micde.umich.edu/event/fall2019-vishnampet-exxonmobil/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=UTC:20190124T163000
DTEND;TZID=UTC:20190124T173000
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe 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 a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\nThe Graduate Certificate in Computational Neuroscience provides training in interdisciplinary computational neuroscience to graduate students in experimental neuroscience programs and to graduate students in quantitative science programs\, such as physics\, biophysics\, mathematics and engineering. The curriculum includes required core computational neuroscience courses and coursework outside of the student’s home department research focus\, i.e. quantitative coursework for students in experimental programs\, and neuroscience coursework for students in quantitative programs.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-f2018-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180924T163000
DTEND;TZID=UTC:20180924T173000
DTSTAMP:20230905T171420Z
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe 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 a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-f2018/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180410T143000
DTEND;TZID=America/Detroit:20180410T153000
DTSTAMP:20230905T171419Z
CREATED:20230905T171419Z
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SUMMARY:MICDE Seminar: Raul Radovitzky\, Department of Aeronautics and Astronautics\, Massachusetts Institute of Technology
DESCRIPTION:Bio: Raul Radovitzky is the Raymond L. Bisplinghoff Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology. He also serves as the Associate Director of the MIT Institute for Soldier Nanotechnologies\, where he also leads research efforts on Blast and Ballistic Protection. He received a Civil Engineer degree from the University of Buenos Aires in 1991\, A S. M. in Applied Mathematics from Brown University in 1995 and a Ph.D. in Aeronautical Engineering from the California Institute of Technology in 1998. His research interests are in the development of numerical methods for multi-scale modeling of complex material response as well as in the formulation and implementation of algorithms for large-scale simulation of the dynamic response of materials to extreme loading conditions with emphasis on material and structural failure. The methods his group has developed have led to significant advances in our understanding of the physical effects of blast waves on the brain. This has helped to develop strategies to protect against Traumatic Brain Injury. Dr. Radovitzky is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a member of the National Football League Head\, Neck and Spine Injury Research Committee. \nExtension of the peridynamic theory of solids for the simulation of materials under extreme loadings\nThe prediction of material and structural failure remains one of the most difficult challenges in structural and solid mechanics. Complexity emerges from the fundamental multiscale aspect of the mechanics of fracture\, where the small-scale response is usually responsible for large-scale system damage and failure. In addition\, significant algorithmic challenges remain\, including the difficulty in representing fracture\, some fundamental numerical convergence issues in the presence of material damage; and computational robustness and scalability enabling large-scale simulations.\nIn this presentation\, I will describe our efforts on the investigation of the theory of peridynamics and its numerical implementation\, as a promising alternative approach for simulating extreme material response. Peridynamics is a relatively new\, nonlocal formulation of continuum mechanics based on integral equations. It includes a physical length scale and naturally supports the presence of discontinuities in the solution field. As part of our work in this area\, we have proposed an extended formulation of the state theory of peridynamics addressing some fundamental issues present in the original theory. Specifically\, we have found that unphysical energy modes that do not contribute to the strain energy are allowed in the original formulation\, which\, in turn\, are responsible for the numerical instabilities commonly observed in peridynamic particle discretizations. In order to address this issue\, we introduce an extension of the constitutive correspondence framework based on bond-level nonlinear strain measures of the Seth-Hill type\, in direct analogy to local measures of deformation in continuum mechanics. We show that the numerical instabilities are eliminated when the numerical discretization is based on the extended theory.\nIn addition\, we have explored different approaches for incorporating material damage and fracture within the context of peridynamics formulations. I will describe one approach based on continuum damage models and another one particularly suited for brittle fracture.\nThe algorithms resulting from a particle discretizations of the proposed extended peridynamics framework have been implemented in our research code ΣMIT. I will provide examples illustrating the key numerical properties of the method. In addition\, I will show numerical results that demonstrate the ability of the method to capture experimentally observed ballistic limit curves for ductile materials\, as well as realistic fracture patterns in brittle materials subjected to projectile impact loadings. \nProf. Radovitzky is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him\, please send an email to micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-raul-radovitzky-mit/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20180402T140000
DTEND;TZID=America/Detroit:20180402T150000
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SUMMARY:MICDE Seminar: Amanda Randles\, Department of Biomedical Engineering\, Duke University
DESCRIPTION:Bio: Amanda Randles is an assistant professor of Biomedical Engineering at Duke University. She has courtesy appointments in the departments of Mechanical Engineering and Material Science\, Computer Science and Mathematics\, and is a member of the Duke Cancer Institute. She got her Ph.D. from Harvard University in 2013\, and has been the recipient of the Lawrence Fellowship (Lawrence Livermore National Lab.)\, the Anita Borg Memorial Scholarship (Google)\, and the George Michael Memorial High Performance Computing Fellowship (ACM/IEEE) among many accomplishments in her early career. Her research in biomedical simulation and high performance computing focuses on the development of new computational tools that she uses to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. \nMassively Parallel Simulations of Hemodynamics in the Human Vasculature\nThe recognition of the role hemodynamic forces have in the localization and development of disease has motivated large-scale efforts to enable patient-specific simulations. When combined with computational approaches that can extend the models to include physiologically accurate hematocrit levels in large regions of the circulatory system\, these image-based models yield insight into the underlying mechanisms driving disease progression and inform surgical planning or the design of next generation drug delivery systems. Building a detailed\, realistic model of human blood flow\, however\, is a formidable mathematical and computational challenge. The models must incorporate the motion of fluid\, intricate geometry of the blood vessels\, continual pulse-driven changes in flow and pressure\, and the behavior of suspended bodies such as red blood cells. In this talk\, I will discuss the development of HARVEY\, a parallel fluid dynamics application designed to model hemodynamics in patient-specific geometries. I will cover the methods introduced to reduce the overall time-to-solution and enable near-linear strong scaling on up to 1\,572\,864 core of the IBM Blue Gene/Q supercomputer. Finally\, I will present the expansion of the scope of projects to address not only vascular diseases\, but also treatment planning and the movement of circulating tumor cells in the bloodstream. \nProf. Randles is being hosted by Dr. Carrasco-Teja (MICDE). If you would like to meet her during her visit please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-amanda-randles-duke-university/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180122T163000
DTEND;TZID=America/Detroit:20180122T173000
DTSTAMP:20230905T171417Z
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
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SUMMARY:Graduate programs in computational science — INFO SESSIONS
DESCRIPTION:Students interested in computational science are invited to learn about graduate programs that will prepare them for success in computationally intensive fields. Pizza and pop will be provided. \nTwo sessions are scheduled:\n\nMonday\, Jan. 22\, 4:30 – 5:30 p.m.\, Johnson Rooms\, Lurie Engineering Center (North Campus)\nThursday\, Jan. 25\, 4:30 – 5:30 p.m.\, 2001 LSA Building (Central Campus)\n\nThe sessions will address:\n\n\nThe Ph.D. in Scientific Computing\, which 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 a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.” \n\n\nThe Graduate Certificate in Computational Discovery and Engineering\, which trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan. The practicum option for Master’s students through the Multidisciplinary Design Program will be explained.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-3/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events
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DTSTART;TZID=America/Detroit:20171019T153000
DTEND;TZID=America/Detroit:20171019T163000
DTSTAMP:20230905T171415Z
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SUMMARY:MICDE Seminar: Panos Papadopoulos\, Department of Mechanical Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: Panos Papadopoulos is a Professor of Mechanical Engineering at the University of California\, Berkeley\, and director of the Computational Solid Mechanics Laboratory. After obtaining his Diploma in Civil Engineering from the Aristotle University\, Greece\, he moved to California to pursue his graduate studies. He obtained his M. Sc. and Ph.D. in Civil Engineering from UC Berkeley. His research involves experimental\, analytical and computational studies of several mechanics systems. Prof. Papadopoulus develops and applied the finite element method to problems in biomechanics\, dynamics of pseudo-rigid bodies\, mechanics of continues media\, plasticity\, materials science and contact mechanics. \nMultiscale Modeling in Continuum Mechanics: A connection to the Irving-Kirkwood procedure\nThis talk describes a method for extending the classical Irving-Kirkwood procedure used in statistical mechanics for extracting local fluxes to the problem of continuum-on-continuum multiscale modeling. Expressions for stress and heat flux derived here are contrasted to those obtained using the standard Hill-Mandel approach. The polar nature of the macroscopic solid and the role of multiscale invariance are also addressed in the context of this method. Applications are explored within the finite element-based homogenization of solids. \nProf. Papadopoulos is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-panos-papadopoulos-department-of-mechanical-engineering-university-of-california-berkeley/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170620T090000
DTEND;TZID=America/Detroit:20170620T100000
DTSTAMP:20230905T171438Z
CREATED:20230905T171438Z
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SUMMARY:ARC-TS Town Hall on Next Generation HPC Cluster
DESCRIPTION:The University of Michigan is beginning the process of building our next generation HPC platform\, “Big House.”  Flux\, the shared HPC cluster\, has reached the end of its useful life. Flux has served us well for more than five years\, but as we move forward with replacement\, we want to make sure we’re meeting the needs of the research community. \nARC-TS will be holding a series of town halls to take input from faculty and researchers on the next HPC platform to be built by the University.  These town halls are open to anyone. \nYour input will help to ensure that U-M is on course for providing HPC\, so we hope you will make time to attend one of these sessions. If you cannot attend\, please email hpc-support@umich.edu with any input you want to share.
URL:https://micde.umich.edu/event/arc-ts-town-hall-on-next-generation-hpc-cluster/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Flux,High Performance Computing
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
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END:VCALENDAR