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simulation and data analysis, including finite element modeling (FEM) and digital image correlation (DIC) A commitment to pedagogical innovation and the ability to mentor and engage students in active learning
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#Substantial experience in programming in C++ #Substantial knowledge about Finite Element Method (FEM), Smoothed Particle Hydrodynamics (SPH), and / or peridynamics #Solid knowledge in computational fluid
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properties to them, generates a finite element mesh, and performs virtual measurements. The goal is to build a computational platform that can predict the macroscopic behavior of a material from knowledge of
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roles may be sufficient) Familiarity with computational tools for NDT simulation and data analysis, including finite element modeling (FEM) and digital image correlation (DIC) A commitment to pedagogical
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and utilize equipment such as high- and low- field NMR/MRI systems and non-traditional systems such as single-sided magnets. In addition to this equipment, techniques such as finite-element modeling and
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characterization methods such as metallography, nanoindentation, XRD, SEM/EDS, and TEM. Computational skills in thermodynamic modeling utilizing FactSage, ThermoCalc, or equivalent and Finite Element Analysis using
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examples include using finite element and classical atomistic modeling to study nanoindentation, and using density functional theory and semiempirical tight binding to study the deformation, band structure
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common tools, like MATLAB and Python, or more advanced languages like C++ or C#. 13. Experience in computational mechanics methods (such as finite element, finite difference or discrete element). Desirable
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complex permittivity and permeability characterization with on-wafer techniques, materials modeling (including finite element simulations, and theory), and the development of mm-wave and microwave
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RAP opportunity at National Institute of Standards and Technology NIST Finite Element and Crystal Plasticity Modeling for the Development of Lightweighting Materials Location Material