@article {931,
	title = {Visualization of Tensor Fields in Mechanics},
	journal = {Computer Graphics Forum},
	volume = {40},
	year = {2021},
	pages = {135-161},
	abstract = {Abstract Tensors are used to describe complex physical processes in many applications. Examples include the distribution of stresses in technical materials, acting forces during seismic events, or remodeling of biological tissues. While tensors encode such complex information mathematically precisely, the semantic interpretation of a tensor is challenging. Visualization can be beneficial here and is frequently used by domain experts. Typical strategies include the use of glyphs, color plots, lines, and isosurfaces. However, data complexity is nowadays accompanied by the sheer amount of data produced by large-scale simulations and adds another level of obstruction between user and data. Given the limitations of traditional methods, and the extra cognitive effort of simple methods, more advanced tensor field visualization approaches have been the focus of this work. This survey aims to provide an overview of recent research results with a strong application-oriented focus, targeting applications based on continuum mechanics, namely the fields of structural, bio-, and geomechanics. As such, the survey is complementing and extending previously published surveys. Its utility is twofold: (i) It serves as basis for the visualization community to get an overview of recent visualization techniques. (ii) It emphasizes and explains the necessity for further research for visualizations in this context.},
	keywords = {scientific visualization, Visualization},
	doi = {https://doi.org/10.1111/cgf.14209},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14209},
	author = {Hergl, Chiara and Blecha, Christian and Kretzschmar, Vanessa and Raith, Felix and G{\"u}nther, Fabian and Stommel, Markus and Jankowai, Jochen and Hotz, Ingrid and Nagel, Thomas and Scheuermann, Gerik}
}
@inbook {937,
	title = {Case Studies for Working with Domain Experts},
	booktitle = {Foundations of Data Visualization},
	year = {2020},
	pages = {255{\textendash}278},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {The collaboration with domain experts concentrates always on an application domain where the experts work. Usually, they provide the data and directions of research that require visualization support. This chapter presents seven successful cases of such collaborations. The domain varies from biology and medicine to mechanical engineering. There are examples of long time cooperation as well as smaller short-term projects. The description concentrates on the process, output, and especially on the lessons learnt from these cooperations. The scientific work is described to understand the context and goals of the cooperation, but many details can only be found in the references. The reason for this unusual writing is the wish on the one hand to describe various aspects of collaboration with domain experts which is an important part of the foundations of data visualization. On the other hand, the text should not become lengthy and filled with too many details of individual cases that can be found elsewhere.},
	isbn = {978-3-030-34444-3},
	doi = {10.1007/978-3-030-34444-3_13},
	url = {https://doi.org/10.1007/978-3-030-34444-3_13},
	author = {Beyer, Johanna and Hansen, Charles and Hlawitschka, Mario and Hotz, Ingrid and Kozl{\'\i}kov{\'a}, Barbora and Scheuermann, Gerik and Stommel, Markus and Streit, Marc and Waschke, Johannes and Wischgoll, Thomas and Wan, Yong},
	editor = {Chen, Min and Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik}
}
@conference {935,
	title = {Tensor Spines - A Hyperstreamlines Variant Suitable for Indefinite Symmetric Second-Order Tensors},
	booktitle = {2020 IEEE Pacific Visualization Symposium (PacificVis)},
	year = {2020},
	month = {June},
	abstract = {Modern engineering uses optimization to design long-living and robust components. One part of this process is to find the optimal stress-aware design under given geometric constraints and loading conditions. Tensor visualization provides techniques to show and evaluate the stress distribution based on finite element method simulations. One such technique are hyperstreamlines. They allow us to explore the stress along a line following one principal stress direction while showing the other principal stress directions and their values. In this paper, we show shortcomings of this approach from an engineer{\textquoteright}s point of view and propose a variant called tensor spines. It provides an improved perception of the relation between the principal stresses helping engineers to optimize their designs further.},
	doi = {10.1109/PacificVis48177.2020.1008},
	author = {Kretzschmar, Vanessa and G{\"u}nther, Fabian and Stommel, Markus and Scheuermann, Gerik}
}
@inbook {673,
	title = {Tensor Lines in Engineering: Success, Failure, and Open Questions},
	booktitle = {Visualization and Processing of Higher Order Descriptors for Multi-Valued Data},
	year = {2015},
	pages = {339{\textendash}351},
	publisher = {Springer},
	organization = {Springer},
	author = {Sch{\"o}neich, Marc and Andrea Kratz and Zobel, Valentin and Scheuermann, Gerik and Stommel, Markus and Hotz, Ingrid}
}
