Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Mesoscale models"”.
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Finite element method with hierarchical domain decomposition : enabling experimentally relevant mesoscale models
Mesoscale materials such as metallic glass present a difficult modeling challenge because their time and length scales place them in a gap where neither continuum mechanics nor quantum mechanics-based models are computationally tractable. The STZ dynamics model is a mesoscale approach to modeling …
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Mesoscale Models for Stacking Faults, Deformation Twins and Martensitic Transformations: Linking Atomistics to Continuum
Finally, we extend the present work to martensitic transformations and determine the energy pathway for B2→B19 transformation in NiTi. Based on our ab initio DFT calculations, we propose a combined distortion-shuffle pathway for B2→B19 transformation in NiTi. Our results indicate that in …
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Forecasting the nighttime evolution of radio wave ducting in complex terrain using the MM5 numerical weather model
This study tests the effectiveness of using mesoscale models to forecast operationally those atmospheric conditions that cause anomalous propagation of radio waves. Providing early warning about where and when such conditions will develop would be particularly useful for military communications. To …
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Mesoscopic Distinct Element Method for Multiscale Modeling of Carbon Nanotubes
… of atomistic modeling and the lack of mesoscale models, mesoscopic simulation methods for CNT systems are missing. My work focuses on deriving ultra-coarse-grained models based on mesoscopic dintinct element method (mDEM). Our mDEM model is informed by atomistic data obtained with …
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Statistics of slip avalanches in sheared amorphous materials based on atomistic simulation
… magnitude of serrations in stress-strain curves. Mesoscale models of amorphous plasticity, depending on assumptions of the interaction between slipped sites, give different predictions of scaling exponents. Atomistic simulation, which does not rely on such assumptions, offers an important approach …
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Synoptic Scale Weather Patterns Associated with Annual Snow Accumulation Variability in North-Central Greenland
… have mostly relied on ice cores, snow pits, mesoscale models, and climate models. In this study, a radar-measured 118-year annual snow accumulation record (1889-2006) along a 375 km traverse between NGRIP and NEEM ice camps in Greenland is used. A Self-Organizing Maps (SOM) algorithm is …
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Improving hydrometeorologic numerical weather prediction forecast value via bias correction and ensemble analysis
… precipitation and temperature to drive reservoir models, and forecasts of temperatures to meet energy demand requirements. Extraordinary precipitation events and temperature extremes involve consequential water- and power-management decisions. This research compared weighted-average, recursive, …
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Multiscale approaches on two-dimensional magnetic materials: from atomistic to mesoscale level
… a multiscale approach involving atomistic scale models with Hubbard-U corrected Density Functional Theory (DFT+U) and mesoscale models with Monte-Carlo (MC) simulations. Firstly, we performed a high throughput screening over 150 compounds, identifying 59 potential two-dimensional magnets. To …
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Investigation of the positive interaction between the primary and secondary circulation and the roles of different types of precipitation in tropical cyclone formation
Our understanding of tropical cyclogenesis, one of the greatest mysteries in tropical meteorology, has advanced significantly in the past few decades, partly owing to the availability of satellite data and high-resolution numerical model simulations. This research investigates the coupling among …
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The use of gamma distributions to quantify the dependence of cloud particle size distributions in hurricanes on cloud and environmental conditions
Mesoscale models that predict the temporal evolution of tropical cyclones (TCs) are sensitive to the representation of cloud microphysical processes through their effect on modeled latent heat release. The cloud parameterizations used in such models make assumptions about the size distributions …