Registrants will be bring their own PC’s for use during the workshop. Software links and instructions will be provided to registrants in advance of the workshop. For more details and to access the OnDemand Recording, visit the webinar page.Ī tour of the Advanced Photon Source (APS) facilities at Argonne National Laboratory on Thursday, July 14 will be included as a part of this workshop. Participation in the webinar is strongly recommended for workshop attendance, though it is not a requirement. The webinar, intended as an introduction to the workshop, will introduce the DREAM.3D software tool and its underlying data structure, the Spatial Information Management Protocol Library (SIMPL). ![]() See Tour Information section below for more details on the tour.Īn Introduction to DREAM.3D and SIMPL Webinar is available as an OnDemand Recording (the live event was offered on March 17). citizens are required to submit a visitor application form. The goals of the workshop are to equip participants with the skills necessary to analyze 3D materials data and foster the development of novel 3D workflows.Ī tour of the Advanced Photon Source (APS) facilities at Argonne National Laboratory on Thursday, July 14 will be included as a part of this workshop. Participants will also learn how to utilize DREAM.3D to produce visualizations in the freely available software package ParaView. Participants will learn the methodologies behind the analysis of 3D materials data, with a focus on practical application of workflows via hands-on tutorials. DREAM.3D is a freely available software tool that performs a wide range of functions for reconstructions of 3D microstructures, statistical analysis, and generation of representative volume elements. Goal: one button that does it all.The focus of this 1.5-day workshop will be to teach participants how to reconstruct, quantify, and analyze 3D materials data using the open-source software package Digital Representation Environment for the Analysis of Materials in 3D (DREAM.3D). Run SPPARKS on PACE on our pinned microstructure to simulate grain growth.Apply pinning algorithm with desired variables selected.Create initial/master random microstructure using SPPARKS.Pinning algorithm: allows pinning of different distributions.SPPARKS: open source code developed by Sandia National Labs. ![]() On each simulation we can output various snapshots of the Micro Structure so we can calculate the grain size distribution and as well observe its evolution history.Perform enough Simulations to have a enough statistical data.We will also vary the shape, size and volume fraction of Precipitates. ![]()
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