Mission

The rapid growth over the past quarter century in the speed and data handling capability of high performance computers has transformed the methodology of scientific investigation. Combined with the development of novel algorithms, scientific computation has not only joined experiment and theory as one of the fundamental tools of investigation, but it has also altered the kind of experiments performed and expanded the scope of theory. The Center for Scientific Computation and Mathematical Modeling (CSCAMM) was created in 2001 by the University of Maryland, College Park (UMd), as a ‘major impact’ project which aims to address the challenges offered by these scientific developments.  CSCAMM encourages cross-fertilization of research activity that lies at the interface between different scientific fields utilizing scientific computation and mathematical modeling. Recent examples of such fields include weather forecasting based on multi-scale modeling/simulations of atmosphere-ocean-land interactions, nano-structures, protein folding and turbulence and transport in fluids and plasma.

The primary goal is to foster research and educational activities that highlight novel computational algorithms and mathematical modeling and their interplay with physical science, biological science, and engineering.

To stimulate such research activity, CSCAMM involves UMd scientists together with world renowned scholars for whom computation is an essential part of their research program, while doing the following:

• Fostering joint research programs to develop novel computational algorithms and related mathematical tools for addressing fundamental scientific problems.

• Sponsoring an active visitors program, by running workshops and conferences.

• Supporting an educational program through a series of tutorials and an active involvement with the new UMd Applied Mathematics and Scientific Computation graduate program.

home.cscamm.umd.edu
Phone: (301) 405-0662

CSCAMM is part of the College of Computer, Mathematical and Natural Sciences.