  Materials science has a significant impact on society and its quality of
life, e.g., through the development of safer, more durable, more economical,
environmentally friendly, and sustainable materials. Visual computing in
materials science integrates computer science disciplines from image
processing, visualization, computer graphics, pattern recognition, computer
vision, virtual and augmented reality, machine learning, to human-computer
interaction, to support the acquisition, analysis, and synthesis of (visual)
materials science data with computer resources. Therefore, visual computing may
provide fundamentally new insights into materials science problems by
facilitating the understanding, discovery, design, and usage of complex
material systems. This seminar is considered as a follow-up of the Dagstuhl
Seminar 19151 Visual Computing in Materials Sciences, held in April 2019. Since
then, the field has kept evolving and many novel challenges have emerged, with
regard to more traditional topics in visual computing, such as topology
analysis or image processing and analysis, to recently emerging topics, such as
uncertainty and ensemble analysis, and to the integration of new research
disciplines and exploratory technologies, such machine learning and immersive
analytics. With the current seminar, we target to strengthen and extend the
collaboration between the domains of visual computing and materials science
(and across visual computing disciplines), by foreseeing challenges and
identifying novel directions of interdisciplinary work. We brought visual
computing and visualization experts from academia, research centers, and
industry together with domain experts, to uncover the overlaps of visual
computing and materials science and to discover yet-unsolved challenges, on
which we can collaborate to achieve a higher societal impact.
