Computer simulation of liquids
Computer simulation of liquids
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Efficient high quality rendering of point sampled geometry
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Case study: hardware-accelerated selective LIC volume rendering
Proceedings of the conference on Visualization '02
Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
Immersive and interactive exploration of billion-atom systems
Presence: Teleoperators and Virtual Environments - special issue: IEEE virtual reality 2002 conference
GI '04 Proceedings of the 2004 Graphics Interface Conference
Confetti: Object-Space Point Blending and Splatting
IEEE Transactions on Visualization and Computer Graphics
Hierarchical Splatting of Scattered 4D Data
IEEE Computer Graphics and Applications
TexMol: Interactive Visual Exploration of Large Flexible Multi-Component Molecular Complexes
VIS '04 Proceedings of the conference on Visualization '04
Hierarchical Splatting of Scattered Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Hierarchical molecular modelling with ellipsoids
Journal of Molecular Graphics
Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities
IEEE Transactions on Visualization and Computer Graphics
Ambient Occlusion and Edge Cueing for Enhancing Real Time Molecular Visualization
IEEE Transactions on Visualization and Computer Graphics
Real-time advection and volumetric illumination for the visualization of 3D unsteady flow
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Hardware-accelerated glyphs for mono- and dipoles in molecular dynamics visualization
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
BioBrowser: a framework for fast protein visualization
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Hardware-accelerated extraction and rendering of point set surfaces
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Visualization of the Molecular Dynamics of Polymers and Carbon Nanotubes
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Interactive visual analysis of temporal cluster structures
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Integrating cluster formation and cluster evaluation in interactive visual analysis
Proceedings of the 27th Spring Conference on Computer Graphics
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A current research topic in molecular thermodynamics is the condensation of vapor to liquid and the investigation of this process at the molecular level. Condensation is found in many physical phenomena, e.g. the formation of atmospheric clouds or the processes inside steam turbines, where a detailed knowledge of the dynamics of condensation processes will help to optimize energy efficiency and avoid problems with droplets of macroscopic size. The key properties of these processes are the nucleation rate and the critical cluster size. For the calculation of these properties it is essential to make use of a meaningful definition of molecular clusters, which currently is a not completely resolved issue. In this paper a framework capable of interactively visualizing molecular datasets of such nucleation simulations is presented, with an emphasis on the detected molecular clusters. To check the quality of the results of the cluster detection, our framework introduces the concept of flow groups to highlight potential cluster evolution over time which is not detected by the employed algorithm. To confirm the findings of the visual analysis, we coupled the rendering view with a schematic view of the clusters' evolution. This allows to rapidly assess the quality of the molecular cluster detection algorithm and to identify locations in the simulation data in space as well as in time where the cluster detection fails. Thus, thermodynamics researchers can eliminate weaknesses in their cluster detection algorithms. Several examples for the effective and efficient usage of our tool are presented.