Molecular Dynamics Simulations of Nano-Bio Materials

radically different computing concepts that leverage the physics of biological materials. For example, selforganization, self-repair, and self-reproduction are commonly found in biological systems but are difficult to achieve with conventional computing systems. New computing paradigms, such as cellular automata, neural networks, and evolutionary computing, may provide clues to utilize the complexity of molecular dynamics for information processing. Molecular computing devices are not likely to compete with and replace conventional computing technology. Rather, they are complementary approaches to silicon-based systems, and a hybrid system which incorporates molecular devices into artificial systems would find potential application domains in, for example, medical and environmental applications. It is, thus, expected that molecular computing will be one of the important technologies, together with other technologies such as synthetic biology, in the age of biomolecular nanotechnology.