Nanotech 2010


Hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems, but useful advances in computational techniques that could benefit many researchers are rarely shared. Computing in Science & Engineering meets this need by presenting scientific and computational contributions in a clear and accessible format.

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