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Computational science is paramount to the understanding of underlying processes in internal combustion engines of the future that will utilize non-petroleum-based alternative fuels, including carbon-neutral biofuels, and burn in new combustion regimes that will attain high efficiency while minimizing emissions of particulates and nitrogen oxides.(More)
Programmable matter is a material whose properties can be programmed to achieve specific shapes or stiffnesses upon command. This concept requires constituent elements to interact and rearrange intelligently in order to meet the goal. This paper considers achieving programmable sheets that can form themselves in different shapes autonomously by folding.(More)
A variant of the One-Dimensional Turbulence (ODT) model formulated in an Eulerian reference frame is applied to a planar nonpremixed turbulent jet flame and results from the model prediction are compared with DNS data. The model employed herein solves the full set of conservation equations for mass, momentum, energy, and species on a one-dimensional domain(More)
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)
Feature-based conditional statistical methods are essential for the analysis of complex, large-scale data. We introduce two shape-based conditional analysis algorithms that can be deployed in complementary settings: local methods are required when the phenomena under study comprise many small intermittent features, while global shape methods are required to(More)
Large eddy simulations (LES) have been successfully applied to premixed turbulent flames in the flamelet regime. However, comparatively little effort to date has focussed on modelling of premixed flames for LES in regimes of combustion in which the small turbulence scales can penetrate the flame, the most important of which is the so-called thin-reaction(More)
The Conditional Moment Closure (CMC) model provides a means of closing the subgrid terms for the reaction rates through the assumption that departures of the mean filtered reaction rate (conditional on a mixture fraction or progress variable) are small. Turbulent-chemistry interaction is incorporated through a conditional scalar dissipation. To date, all(More)
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