ACSESS
Through a partnership with academia, the Applied Computational Science and Engineering Student Support (ACSESS) program provides U.S. industry with a unique opportunity to help capture and sustain global economic leadership.
ACSESS provides access to the next generation of engineers, scientists and researchers in order to help businesses directly address critical industrial problems. Computational scientists and engineers have the interdisciplinary training and expertise to address a wide set of industrial problems in a range of areas. These areas include product engineering, safety engineering, and environmental engineering.
Computational scientists and engineers also solve sophisticated industrial design problems. Having access to expertise in solving those often-intractable problems can help keep products and services ahead of the competition.
By supporting specific graduate and postdoctoral students pursuing their Computational Science & Engineering (CS&E) studies, businesses can develop the next generation of key employees.
Just what is Computational Science & Engineering?
Computational Science & Engineering (CS&E) is a growing field in which computational models are used to understand subtle interactions and complex systems or to work with masses of data. These models often employ fundamental equations of nature, such as equations of Newtonian mechanics and quantum mechanics, or the Navier-Stokes equation for fluid dynamics. These models are then used to make predictions and statistical projections crucial for improving product quality and efficiency. Automobile design is a classic example. Automobiles designed with the aid of these CS&E tools have effectively doubled their fuel efficiency and are dramatically safer during collisions.
Due to the often enormous complexity of these problems, the use of supercomputers has been an integral part of CS&E. As a result, those in the field of CS&E have been able to develop far better-quality materials, and materials more tailored to specific applications. CS&E has not only directly influenced the revolution in drug design, it has quietly transformed areas more prosaic but critical to business – namely, industrial and product design.
Why now?
Until very recently, the use of supercomputers to address complex problems had been the purview of an elite community, usually academic researchers, since access to supercomputers costs tens of millions of dollars.
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