Search

Your search keyword '"Filip Sadlo"' showing total 3 results
Start Over Author "Filip Sadlo" Publisher springer
3 results on '"Filip Sadlo"'

1. Visual analysis of droplet dynamics in large-scale multiphase spray simulations

Author

Steffen Frey, Alexander Straub, Moritz Heinemann, Thomas Ertl, Gleb Tkachev, Filip Sadlo, Scientific Visualization and Computer Graphics, and ​Robotics and image-guided minimally-invasive surgery (ROBOTICS)

Subjects
Artificial neural network, Computer science, Scale (chemistry), Dynamics (mechanics), Flow (psychology), Direct numerical simulation, 020207 software engineering, 02 engineering and technology, Condensed Matter Physics, Physics::Fluid Dynamics, Interactive visual analysis, 0202 electrical engineering, electronic engineering, information engineering, Cluster (physics), 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Biological system, Physical quantity
Abstract

We present a data-driven visual analysis approach for the in-depth exploration of large numbers of droplets. Understanding droplet dynamics in sprays is of interest across many scientific fields for both simulation scientists and engineers. In this paper, we analyze large-scale direct numerical simulation datasets of the two-phase flow of non-Newtonian jets. Our interactive visual analysis approach comprises various dedicated exploration modalities that are supplemented by directly linking to ParaView. This hybrid setup supports a detailed investigation of droplets, both in the spatial domain and in terms of physical quantities. Considering a large variety of extracted physical quantities for each droplet enables investigating different aspects of interest in our data. To get an overview of different types of characteristic behaviors, we cluster massive numbers of droplets to analyze different types of occurring behaviors via domain-specific pre-aggregation, as well as different methods and parameters. Extraordinary temporal patterns are of high interest, especially to investigate edge cases and detect potential simulation issues. For this, we use a neural network-based approach to predict the development of these physical quantities and identify irregularly advected droplets., Projekt DEAL

Published
2021

2. Topological Methods in Data Analysis and Visualization VI : Theory, Applications, and Software

Author

Ingrid Hotz, Talha Bin Masood, Filip Sadlo, Julien Tierny, Ingrid Hotz, Talha Bin Masood, Filip Sadlo, and Julien Tierny

Subjects
Topology--Congresses, Mathematical analysis--Congresses, Information visualization--Congresses
Abstract

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world's leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.

Published
2021

3. Topological Methods in Data Analysis and Visualization V : Theory, Algorithms, and Applications

Author

Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi, Hamish Carr, Issei Fujishiro, Filip Sadlo, and Shigeo Takahashi

Subjects
Visualization, Dynamics, Mathematics, Topology--Congresses, Mathematical analysis--Congresses, Complex manifolds, Geometry, Manifolds (Mathematics), Ergodic theory, Computer science--Mathematics
Abstract

This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms. In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world's leading experts on topological techniques, thebook represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results