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Browsing MACSI - Mathematics Application Consortium for Science & Industry by Author "Lee, William T."

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Browsing MACSI - Mathematics Application Consortium for Science & Industry by Author "Lee, William T."

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  • Moroney, Kevin M.; Lee, William T.; O'Brien, Stephen B.G.; Suijver, F.; Marra, Johan (Society for Industrial and Applied Mathematics, 2016)
    Extraction of coffee solubles from roast and ground coffee is a highly complex process, depending on a large number of brewing parameters. We consider a recent, experimentally validated, model of coffee extraction, describing ...
  • Lee, William T.; Fowler, Andrew C.; Power, O.; Healy, S.; Browne, J. (American Institute of Physics, 2010)
    Polycrystalline silicon fuses are one time programmable memory elements which allow the calibration of integrated circuits at wafer and package level. We present a zero-dimensional lumped parameter model of the programming ...
  • Moroney, Kevin M.; Lee, William T.; O'Brien, Stephen B.G.; Suijver, Freek; Marra, Johan (SpringerOpen, 2016)
    The extraction of coffee solubles from roasted and ground coffee is a complex operation, the understanding of which is key to the brewing of high quality coffee. This complexity stems from the fact that brewing of coffee ...
  • Gleeson, James P.; Ward, Jonathan A; O'Sullivan, Kevin P.; Lee, William T. (American Physical Society, 2014)
    Heavy-tailed distributions of meme popularity occur naturally in a model of meme diffusion on social networks. Competition between multiple memes for the limited resource of user attention is identified as the mechanism ...
  • Lee, William T.; Kaar, Simon; O'Brien, Stephen B.G. (American Assocation of Physics Teachers, 2018)
    A surprising phenomenon witnessed by many is the sinking bubbles seen in a settling pint of stout beer. Bubbles are less dense than the surrounding fluid so how does this happen? Previous work has shown that the explanation ...
  • Cregan, Vincent; Lee, William T.; Clune, Louise (SpringerOpen, 2017)
    A soft sensor for measuring product quality in the Bayer process has been developed. The soft sensor uses a combination of historical process data recorded from online sensors and laboratory measurements to predict a key ...

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