In dealing with systems containing widely disparate species population levels, such as arise in cellular biology and nanoscale semiconductor processing, there is a growing need for
multiscale simulation techniques that can efficiently handle behaviors at both the conventional deterministic-continuum level as well as the mesoscopic level of description. We present here an
exciting novel method for modeling the population dynamics that integrates the mesoscopic and macroscopic process levels seamlessly and automatically and can handle systemsacross multiple
timescales with minimal user intervention.
Cornell Center for Materials Research
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