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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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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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-circuit design, finite-element simulation, clean-room fabrication, and on-wafer test and measurement. Ma, X., Orloff, N. D., Little, C. A., Long, C. J., Hanemann, I. E., Liu, S., ... & Hwang, J. C. (2018
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with finite elements, in making statistical estimates, or simply in dealing with functions that are very difficult to handle. The comparability among the various techniques for numerical approximation
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of Nonductile Reinforced Concrete Frames with Masonry Infill Walls: I. Development of Strut Model Enhanced by Finite Element Models”, Earthquake Spectra, (2015), 32 (2), 795-818. Sattar, Siamak and Abbie B. Liel
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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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, transition metal-, transition-metal oxide and/or rare-earth thin-film multilayers, patterned arrays, and nanoparticles with possible technological applications such as spin electronics and cancer therapy
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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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involves the development of modeling tools for microstructure-sensitive materials characterization, including finite-element tools and crystal plasticity modeling, extensible to new classes of constitutive
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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