{ "144173-21894777": { "datetime_modified":"20260120T094930", "datetime_start":"20260210T150000", "datetime_end":"20260210T160000", "has_end_time":1, "date_start":"2026-02-10", "date_end":"2026-02-10", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"ICPSR Live Demo: Data Fair Edition", "occurrence_title":"", "combined_title":"ICPSR Live Demo: Data Fair Edition: ICPSR's Data Fair @ Love Data Week", "event_subtitle":"ICPSR's Data Fair @ Love Data Week", "event_type":"Livestream \/ Virtual", "event_type_id":"24", "description":"Join us for a live demo of data and resources from ICPSR, the world's largest social science data archive. Topics include:\n\n-Highlights of data at ICPSR\n-ICPSR Bibliography (publications that use data found at ICPSR)\n-Sharing data through ICPSR\n-Resources for teaching with ICPSR data\n-Data training through the ICPSR Summer Program\n-Additional resources\n-Questions\n\nAutomated captions and translations are available. Live demos are not recorded. \n\nThis event is free and open to the public. This event is part of the 2026 ICPSR Data Fair and Love Data Week.", "occurrence_notes":null, "guid":"144173-21894777@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144173", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"", "tags":["Data","Love Data Week","Icpsr Data Fair","Data Management","Data Curation","Data Collection","Data Analysis"], "website":"http:\/\/myumi.ch\/ICPSRLoveDataWeek", "sponsors":[ { "group_name":"ICPSR at the University of Michigan Institute for Social Research", "group_id":"4533", "website":"https:\/\/www.icpsr.umich.edu\/" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/01\/event_144173_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/01\/event_144173_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/01\/event_144173_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/01\/event_144173_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/01\/event_144173_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/01\/event_144173_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/01\/event_144173_original-1.png" }, "occurrence_count":1, "first_occurrence":21894777 } , "144965-21896209": { "datetime_modified":"20260203T101921", "datetime_start":"20260210T150000", "datetime_end":"20260210T160000", "has_end_time":1, "date_start":"2026-02-10", "date_end":"2026-02-10", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"MICDE \u2013 NERS \u2013 MIPSE Joint Seminar: Brian Haines, Los Alamos National Laboratory", "occurrence_title":"", "combined_title":"MICDE \u2013 NERS \u2013 MIPSE Joint Seminar: Brian Haines, Los Alamos National Laboratory: Radiation-hydrodynamics Modeling & Application to Prediction of Inertial Confinement Fusion Experiments", "event_subtitle":"Radiation-hydrodynamics Modeling & Application to Prediction of Inertial Confinement Fusion Experiments", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Abstract:\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\nBio: \nBrian 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\u2019 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\u2019s 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\u2019s Science and Technology Award from LLNL.", "occurrence_notes":null, "guid":"144965-21896209@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/144965", "building_id":"1000397", "building_name":"Lurie Robert H. Engin. Ctr", "campus_maps_id":"90", "room":"Johnson Rooms", "location_name":"Lurie Robert H. Engin. 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