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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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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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-mechanical processing. Some of these modeling tools include density functional theory (DFT), CALPHAD-based models, phase-field models, and finite-element models (FEM) to predict as-built microsegregation
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thermomechanical finite element modeling, CALPHAD-based thermodynamics, and crystal plasticity and to both powder-scale and atomic-scale simulations. Emphasis will be on integration of model predictions with
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image correlation (DIC) datasets with fully three-dimensional finite element analysis (FEA) results in mechanical test setups on metals and polymers including uni-axial and bi-axial loading at different
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., J. Chem. Engr. Data., 2020, 65 (7) Multiphysics simulations; computational fluid dynamics; finite volume, finite and discrete element methods; computational fluid and particle dynamics; multiscale
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not be effectively analyzed. DIC data are combined with finite element modeling to analyze non-uniform stress and strain states within samples during dynamic loading, and in some cases to deduce
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; Mechanical properties; Finite elements; Structural materials; Plasticity; Surface properties; Materials Genome Initiative; Eligibility Citizenship: Open to U.S. citizens Level: Open to Postdoctoral applicants
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; Fatigue; Alternative fuel; Finite element; Hydrogen, Corrosion; Citizenship: Open to U.S. citizens