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DTSTART;TZID=America/Detroit:20260210T150000
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SUMMARY:MICDE - NERS - MIPSE Joint Seminar: Brian Haines\, Los Alamos National Laboratory
DESCRIPTION:Bio: Brian M. Haines is a Senior Distinguished Scientist in the Eulerian Codes group in the X-Computational Physics division at Los Alamos National Laboratory. He is currently the lead for the Ignition Applications project\, which includes the THOR and BrassOwl experimental campaigns on the National Ignition Facility. Brian leads the effort to produce LANL xRAGE pre-shot predictions and post-shot analysis of high-yield implosion attempts on the National Ignition Facility. Brian led the decadal effort to develop the xRAGE radiation-hydrodynamics code into a state-of-the-art tool for modeling inertial confinement fusion (ICF) and high-energy density physics experiments and has pioneered the use of xRAGE to perform large-scale high-resolution full-physics three-dimensional simulations of ICF implosions to understand the impacts of hydrodynamic instabilities and engineering features. Prior to his current position\, Brian was a Metropolis postdoc in the Methods & Algorithms group from 2011-2013 and did various internships as a student with Argonne National Laboratory\, LANL\, the National Security Agency\, and the Institute for Defense Analyses’ Center for Communications Research. Brian received a Ph.D. in mathematics from Penn State University in 2011 and a B.A. in mathematics and physics from New York University in 2006. Brian has co-authored 100 peer-reviewed publications that have received over 3\,400 citations and has been awarded a Secretary’s Honor Award from DOE\, four distinguished performance awards from LANL\, five defense program awards of excellence from NNSA\, an ICF program award from Lawrence Livermore National Laboratory (LLNL)\, and a Director’s Science and Technology Award from LLNL. \n  \nRadiation-hydrodynamics Modeling & Application to Prediction of Inertial Confinement Fusion Experiments\nThe xRAGE radiation-hydrodynamics code is a state-of-the art simulation tool for modeling inertial confinement fusion experiments. xRAGE is one of only three radiation-hydrodynamics codes developed in the U.S. with sufficient physics to credibly model both capsule implosions as well as the high-Z cylindrical hohlraums used to convert laser energy into an X-ray drive for the capsule. xRAGE solves the equations for hydrodynamics and other physics in an Eulerian reference frame and features adaptive mesh refinement\, which makes it uniquely well-suited to accurately modeling capsule defects and engineering features that are important factors limiting capsule performance. In the first half of this talk\, we will discuss the physics modeling capabilities and algorithms available in xRAGE with an emphasis on those relevant to high-energy-density physics and inertial confinement fusion. In the second half of the talk\, we will discuss the successful application of xRAGE to provide pre-shot predictions for seventeen high-yield capsule implosions on the National Ignition Facility. This will include the modeling methodology\, how we establish prediction uncertainties\, and how we have learned from prediction failures to improve the methodology. Our predictions have exhibited a 67% success rate thus far\, which is much higher than other pre-shot predictions over the same set of experiments. \n  \n\n  \nThe MICDE 2025-26 Seminar Series is open to all. \nThis seminar is organized by the Michigan Institute for Computational Discovery & Engineering (MICDE)\, the Department of Nuclear Engineering & Radiological Sciences (NERS) and the Michigan Institute for Plasma Science and Engineering (MIPSE). \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/brian-haines-los-alamos-national-laboratory/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms (LEC 3213)
CATEGORIES:College Of Engineering,Featured Events,Micde,Micde Seminar,MICDE Seminar Series,Nuclear Engineering and Radiological Sciences,Seminar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2026/01/Haines.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20260129T140000
DTEND;TZID=America/Detroit:20260129T150000
DTSTAMP:20260522T151806Z
CREATED:20251125T210910Z
LAST-MODIFIED:20260522T151806Z
UID:10000844-1769695200-1769698800@micde.umich.edu
SUMMARY:MICDE - Mechanical Engineering Seminar - Elif Ertekin\, University of Illinois Urbana-Champaign
DESCRIPTION:Bio: Elif Ertekin is an Andersen Faculty Scholar\, Associate Professor\, and Associate Head for Graduate Programs in the Mechanical Science and Engineering Department at the University of Illinois at Urbana-Champaign. She is a faculty affiliate of the National Center for Supercomputing Applications (NCSA) and the Materials Research Laboratory (MRL). Her research interests center on the theory and modeling of materials\, with an emphasis on probabilistic and stochastic methods. She focuses on developing a microscopic understanding of atomic and electronic scale processes in materials\, with applications areas in thermal transport\, energy conversion\, and defect chemistry. She received BS degrees in Mathematics and in Engineering Science and Mechanics from Penn State\, a PhD in Materials Science and Engineering from UC Berkeley\, and she carried out post-doctoral work at the Berkeley Nanoscience and Nanoengineering Institute and the Massachusetts Institute of Technology. She is an Associate Editor for the Journal of Applied Physics and a Divisional Associate Editor for\nPhysical Review Letters. \nPhysical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials\nPredictive materials simulation has long been rooted in first-principles descriptions of physical mechanisms\, grounded in quantum mechanics but limited by tractable length scales\, sampling challenges\, and the accuracy-cost tradeoff. Today\, machine-learning methods seek to transform materials science by revealing patterns in data extending beyond conventional modeling. My talk will explore how these two paradigms\, mechanistic simulation and data-driven learning\, can act synergistically to accelerate materials discovery and understanding. I will begin by outlining what first-principles simulations can currently achieve and where their limitations arise\, using examples from our work in thermoelectrics\, wide-band-gap semiconductors\, ion-transport materials\, and structural alloys. Building on this foundation\, I will show how machine-learning approaches\, when designed with materials-specific considerations such as symmetries and invariances\, can enhance traditional methods. Examples include symmetry-aware generative models for inorganic crystalline solids and machine-learning solutions to the many-body electronic-structure problem that rival high-accuracy quantum methods. Together\, these examples highlight how integrating mechanisms and patterns can help advance predictive materials simulations.\ \n\nThe MICDE 2025-26 Seminar Series is open to all. \nThis seminar is organized by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Mechanical Engineering. Prof. Ertekin will be hosted by Prof. Chenhui Shao\, Associate Professor of Mechanical Engineering. \nThis is an in-person event. This seminar will not be recorded! \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/micde-seminar-elif-ertekin-uiuc/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms (LEC 3213)
CATEGORIES:College Of Engineering,Featured Events,Mechanical Engineering,Micde,Micde Seminar,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2025/11/Elif-Ertekin.png
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DTSTART;TZID=America/Detroit:20231011T110000
DTEND;TZID=America/Detroit:20231011T120000
DTSTAMP:20231211T234457Z
CREATED:20230927T154544Z
LAST-MODIFIED:20231211T234457Z
UID:10000655-1697022000-1697025600@micde.umich.edu
SUMMARY:MICDE / LANL T Division - James Patrick Colgan\, Deputy Division Leader Los Alamos  National Laboratory Theoretical Division
DESCRIPTION:Join us to learn more about the Theoretical Division of Los Alamos National Laboratory.  Are you familiar with the Oppenheimer movie?\nYou can also hear about the exciting opportunities available for graduate students and post docs at LANL. \nSpeaker: James Patrick Colgan\, Deputy Division Leader Los Alamos National Laboratory \n  \nBio: James Colgan is the Deputy Division Leader of Theoretical Division at Los\nAlamos National Laboratory. James received his BSc and PhD degrees in Theoretical\nPhysics from Queen’s University\, Belfast\, Northern Ireland. After a post-doctoral\nposition at Auburn University\, he joined LANL in 2003 as a post-doctoral researcher\nand was converted to a staff scientist position in 2005 in Theoretical Division. James\nbecame Group Leader of the Physics and Chemistry of Materials (T-1) in 2017 and\nbecame Deputy Division Leader in 2022. James has published extensively in atomic\nand plasma physics and was elected a Fellow of the American Physical Society (APS)\nin 2012 and a Fellow of the U.K. Institute of Physics (IOP) in 2021 \nAn overview of Los Alamos National Laboratory and the Theoretical Division\nAbstract: An overview of the activities of Los Alamos National Laboratory (LANL)\nare presented. LANL was founded in 1943 under the leadership of J. Robert\nOppenheimer to direct the “Manhattan Project” – a top-secret project to create the\natomic bomb. Now 80 years later\, in 2023\, LANL is tasked by the nation through the\nDepartment of Energy and National Nuclear Security Administration to deliver\nnational security solutions to address the issues faced by the nation and world.\nLANL achieves its mission by applying multidisciplinary science\, technology and\nengineering capabilities using unique experimental\, computational\, and nuclear\nfacilities.\nThis overview will provide a brief survey of LANL’s activities and then will focus on\nthe research & development portfolio of LANL’s Theoretical (T) Division (part of the\nDirectorate for Simulation & Computation). T Division\, which has existed since the\ninception of LANL\, aims to provide excellence in basic and applied theoretical\nresearch across many disciplines\, notably computational materials science and the\ndevelopment of cutting-edge computational tools to support the national security\nmission of the Laboratory.
URL:https://micde.umich.edu/event/workshop-seminaran-overview-of-los-alamos-national-laboratory-and-the-theoretical-division/
LOCATION:Lurie Robert H. Engin. Ctr – Johnson Rooms (LEC 3213)
CATEGORIES:Micde,Micde Seminar,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/09/LANL-Logo.png
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