A visualization of the breakup of liquid sheets.
The capture and tidal disruption of a star by a massive black hole
Continuum topology optimization under uncertainty; moving along the white arrow corresponds to higher demand for robustness
Surface vorticity distribution showing multi-scale eddies in the Kuroshio current. Larger meander is mesoscale and smaller eddies are sub-mesoscale.
Impact of a titanium alloy molten droplet onto a stainless steel substrate using a two-phase finite-volume simulation.
Faculty at the Center for Scientific Computing and Visualization Research.

The Center for Scientific Computing and Visualization Research at the University of Massachusetts Dartmouth focuses on computationally-driven research that addresses the pressing needs of modern engineering, mechanics, fluid dynamics, and electromagnetics.

The research groups at the Center span a wide range of the applied sciences departments at UMassD, including

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UMass Dartmouth and the CSCVR hosts Kip Thorne to discuss the physics of the blockbuster movie Interstellar
December 2, 2016
Two screenings of Interstellar took place on the day of Dr. Thorne's visit to the Dartmouth campus. Dr. Thorne, the Feynman Professor of Theoretical Physics, Emeritus at Caltech, joined UMass Dartmouth faculty, students, and the local community for a series of talks and a panel discussion on the science of Interstellar. The talks can be viewed on the event's webpage.
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CSCVR undergraduate Cole Freniere publishes research article in Computing in Science & Engineering
October 9, 2016

CSCVR undergraduate Cole Freniere, along with CSCVR faculty members Ashish Pathak, Mehdi Raessi and Gaurav Khanna, explore Amazon's Cloud Computing resources for the simulation of Ocean Wave Energy Converters interacting with ocean waves. These wave energy converters are complex to simulate, and traditionally require a large supercomputer to run for an extended period of time. Amazon, whom we all know for its large online store, also offers computing resources in the Cloud, which customers can essentially rent". The novel cloud computing model offers the possibility of reducing the cost of computational fluid dynamic simulations and unlocking the potential of wave energy converters as a future source of renewable energy.

To read more about Cole's research on Ocean Wave Energy Converters and cloud computing, please see Going into the Cloud to Study Renewable Energy Extraction from Ocean Waves. This project was made possible with support from the National Science Foundation (CBET Grant No. 1236462)."