Evatt R. Hawkes

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ecent developments in numerical methodology for combustion simulations that effectively harness modern high-performance parallel computers can simulate reacting flows by using high-fidelity models for the underlying complex processes. However, a single run of the simulation can produce multiple ter-abytes of raw data that are vast in the spatial (near a(More)
We present a new framework for feature-based statistical analysis of large-scale scientific data and demonstrate its effectiveness by analyzing features from Direct Numerical Simulations (DNS) of turbulent combustion. Turbulent flows are ubiquitous and account for transport and mixing processes in combustion, astrophysics, fusion, and climate modeling among(More)
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