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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Congratulations, 2017 CSCVR Graduates!
May 27, 2017
Congratulations to our recent CSCVR graduates Rahul Kashyap (EAS Ph.D. '17), Tazkera Haque (Masters '17), and Chris Bresten (EAS Ph.D. '17). Rahul has accepted an offer to work after graduation as a postdoctoral research scholar jointly at the Max Planck Institute for Gravitational Physics (also known as the Albert Einstein Institute) in Hanover, Germany. Tazkera will be continuing her studies as a Judy Young PhD Fellow at UMass Amherst.
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Zach Grant (EAS Ph.D. 2017) wins SIAMs national Student Paper Prize award.
May 5, 2017
Ph.D student Zack Grants paper Explicit Strong Stability Preserving Multistage Two-Derivative Time-Stepping Schemes was selected as one of the winners of the 2017 SIAM Student Paper Prize. There are 3 prizes each year and each is given a $1000 prize and $500 in travel support to the SIAM annual meeting. Zach will present the winning paper in a special session at the SIAM annual meeting. The paper was co-authored by CSCVR faculty member Sigal Gottlieb and collaborators Andrew J. Christlieb and David C. Seal.
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The CSCVR at the University of Massachusetts Dartmouth is a leading campus contributor to a new index of research productivity.
May 5, 2017
Research conducted in the Center on crystals, black holes, supernovae and estuaries are among the papers published at UMass Dartmouth included in the 2016 Nature Index (*). The Nature Index, developed by the Nature Publishing Group, tracks research publications among a selection of 68 high-impact journals. According to the Nature Publishing Group
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CSCVR faculty member awared NSF grant to study the monsoon
May 3, 2017
Dr. Amit Tandon (Mechanical Engineering), who was recently awarded a $753,841 grant from the Office of Naval Research to study monsoon in the Indian Ocean and over the Asian land mass in partnership with several other U.S. institutions as well as institutions in India and Sri Lanka.
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Center for Scientific Computing and Visualization Research will acquire a new rapid prototyping machine
April 13, 2017
UMass Dartmouth Center for Scientific Computing and Visualization Research will acquire a new rapid prototyping machine, a powerful computer server intended for use in collaborative multidisciplinary research among faculty members and students from different departments with diverse programming background. The new rapid prototyping server (rps) is a single high-end Linux server with 3.2 GHz multicore Xeon CPUs, 256GB RAM, and can handle up to 4 GPUs. Popular rapid prototyping software such as anaconda python 2 and 3, Julia, MATLAB with parallel computing toolbox, and Mathematica with GPU support will also be installed. With convenient feature such as UMassD logon, the server can also be seen as an extension of faculty's office workstations or as a test machine prior to scaling up computing jobs to UMass Dartmouth multinode servers: ARNiE and HPCC or MGHPCC (UMass-wide supercomputer). The older rapid prototyping server will be repurposed as a machine for teaching introduction to scientific computing (MTH280), mathematical and computational consulting (MTH540), and high performance scientific computing (EAS520) courses. Prototyping projects currently conducted on the older machine includes but not limited to deep learning with Mathematica, numerical simulation of systems of PDEs, development of new time-stepping methods, and preconditioning techniques for generalized finite difference sparse systems. Smooth transition from older to new rps system will be expected in the summer of 2017.