Report from Dagstuhl Seminar 19151 Visual Computing in Materials Sciences Edited by Christoph Heinzl1, Robert Michael Kirby2, Stepan V. Lomov3, Guillermo Requena4, and Rüdiger Westermann5 1 FH Oberösterreich – Wels, AT,
[email protected] 2 University of Utah – Salt Lake City, US,
[email protected] 3 KU Leuven, BE,
[email protected] 4 DLR – Köln, DE,
[email protected] 5 TU München, DE,
[email protected] Abstract Visual computing has become highly attractive for boosting research endeavors in the materials science domain [1]. Using visual computing, a multitude of different phenomena may now be studied, at various scales, dimensions, or using different modalities. This was simply impossible before. Visual computing techniques generate novel insights to understand, discover, design, and use complex material systems of interest. Its huge potential for retrieving and visualizing (new) information on materials, their characteristics and interrelations as well as on simulating the material’s behavior in its target application environment is of core relevance to material scientists. This Dagstuhl seminar on Visual Computing in Materials Sciences thus focuses on the intersection of both domains to guide research endeavors in this field. It targets to provide answers regarding the following four challenges, which are of imminent need: The Integrated Visual Analysis Challenge identifies standard visualization tools as insufficient for exploring materials science data in detail. What is required are integrated visual analysis tools, which are tailored to a specific application area and guide users in their investigations. Using linked views and other interaction concepts, these tools are required to combine all data domains using meaningful and easy to understand visualization techniques.