Abstract: Turbulent fluid flows are characterized by a wide spectrum of spatial and temporal scales. Unfortunately, the cost of resolving these scales with Direct Numerical Simulation (DNS) grows ...
As manufacturers expand operations and integrate new technologies such as robotics, automation, and advanced data analytics, ...
Though weather-related disruptions to the power grid are nothing new, the increase in extreme weather events caused by climate change means power system failures are much more frequent. But as ...
Dynamical systems modeling is one of the most successfully implemented methodologies throughout mathematical oncology (1). Applications of these model first approaches have led to important insights ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Data has no intrinsic value. It should be shaped, structured and interpreted before it becomes actionable. The journey from ...
In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.
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