This visualization was a finalist in the SC21 Visualization Showcase. Credits: Francesca Samel, Greg Abram, Stephanie Zeller at TACC. Mark Petersen, LeAnn Conlon, Prajvala Kurtakoti, Linnea Palstom, John Patchett, Andrew Roberts at Los Alamos National Lab. Learn more about this image.
This visualization was a finalist in the SC21 Visualization Showcase. Credits: Greg Foss and Dave Semeraro, TACC. Learn More about this image.
Credit: Baskar Ganapathysubramanian Research Group/Iowa State University; Greg Foss/Texas Advanced Computing Center (TACC). Learn more about this image.
Science: Fabrizio Bisetti, Tejas U. Kulkarni, The University of Texas at Austin Visualization: Greg Foss, Texas Advanced Computing Center. Learn more about this image.
Visualization: Greg Foss, Texas Advanced Computing Center Science: Nguyen, An T., Heimbach, P. and Vocaña, V., Institute for Computational Engineering and Sciences, The University of Texas at Austin. Learn more about this image.
Science: Abdul Malmi Kakkada (Dave Thirumalai’s group – Department of Chemistry at UT Austin) Visualization: Anne Bowen, Texas Advanced Computing Center. Learn more about this image.
Fluid flow in a mixing application showing two different mixing speeds. Color indicates velocity magnitude and surface LIC shows flow direction. Data generated by lattice-Boltzmann methods in M-Star CFD and visualized in M-Star Post, a ParaView-based application. Images courtesy M-Star CFD.
A cancer immunology hypothesis study (doi.org/10.1101/196709) ran and analyzed 231 simulations of T cells seeking and attacking a tumor. The simulations were created with PhysiCell (PhysiCell.MathCancer.org,doi.org/10.1101/088773), an open source physics-based cell simulator. They include approximately 125,000 cells in a 3.375 mm3 tissue, which contains the tumor. OSPRay capabilities in ParaView were used to render the final outcomes of the simulations (colored by both cell type and phenotype) to help researchers understand what T-cell design parameters may be considered most effective. An octant of the tumor was cut from the visualizations to better capture the 3D structure of the tumor. Acknowledgement: Ozik, Jonathan, Nicholson Collier, Justin Wozniak, Charles Macal, Chase Cockrell, Samuel Friedman, Ahmadreza Ghaffarizadeh, Randy Heiland, Gary An, and Paul Macklin. “High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow.” BioRxiv, September 30, 2017. doi.org/10.1101/196709.
Image courtesy of Ricardo Reis, LASEF/IST, Lisboa, Portugal www.lasef.ist.utl.pt
ParaView was recently used in Russell M Taylor II’s Visualization in the Sciences class at the University of North Carolina at Chapel Hill.
Author: Joo Hwi Lee and Namdi Brandon
Copyright: Data courtesy of Laura Miller, UNC Applied Mathematics
Author: Michael Garrett Larson and Alexander D. Hill
Copyright: Data courtesy of Jonathan Lees and Keehoon Kim, UNC Geological Sciences
Carsten Burstedde, Omar Ghattas, James R. Martin, Georg Stadler, Lucas C. Wilcox
Visualization at the Texas Advanced Computing Center,
the University of Texas at Austin by Greg Abram
Supercomptuing 2010, Video courtesy of Greg Schussman. Rendered in ParaView
Simulation: Cho-Kuen NG, Vineet Rawat
Simulation: Arno Candel
Asteroid Golevka measures about 500 x 600 x 700 meters. In this CTH shock physics simulation, a 10 Megaton explosion was initiated at the center of mass. The simulation ran for about 15 hours on 7200 nodes of Red Storm and provided approximately 0.65 second of simulated time. The resolution was 1 meter, with a 1 cubic kilometer mesh that contained 1.1 billion cells. The remarkable resolution of this simulation provides
realism in crack formation and propagation not seen in lower-resolution models.
Ricardo Reis, LASEF at IST, Lisbon http://www.lasef.ist.utl.pt
Ken Moreland, Sandia National Laboratories
Lixin Ge, SLAC National Accelerator Laboratory
Zenghai Li, SLAC National Accelerator Laboratory
Cho-Kuen Ng, SLAC National Accelerator Laboratory
Liling Xiao, SLAC National Accelerator Laboratory
Kwok Ko, SLAC National Accelerator Laboratory
class at the University of North Carolina at Chapel Hill.
Author: Joo Hwi Lee and Avery Ted Cashion
Copyright: Data courtesy of the 2011 IEEE Visualization Contest
Image Courtesy of Los Alamos National Laboratory
placed on top of a half space. The points on the surface move towards
the loading point, in the inside of the domain the points are pushed
away from it.
Author: Joo Hwi Lee and Zhigang (Alfred) Zhong
Copyright: Data courtesy of Steffen Bass and Hannah Peterson, Duke Physics
Author: Jared Vicory and Zhigang (Alfred) Zhong
Copyright: Data courtesy of Jonathan Lees, UNC Geological Sciences
fan / nozzle and ground plane streamlines.