Why is computational science important?
The use of computational science has become essential to innovation in the increasingly competitive environments of industrial and scientific research. It allows researchers to study phenomena that would be difficult to study through any other means. For example, computational models allow researchers in the life sciences to simulate what happens when drug molecules interact with viruses and then visualize the result. It also allows car manufacturers to simulate repeated computer models of car crashes and then see what happens within the parts damaged in the crash. It is expensive and time-consuming for scientists to conduct experiments or for businesses to build physical prototypes. For example, when computer models are used, it is possible to test how many different chemicals would interact with a protein in the time that it would take to conduct one experiment. Similarly, when a new car is being developed, it is similarly time consuming and expensive to build prototypes of a car in
