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The complicated metal-based additive manufacturing (AM) process involves various sources of uncertainty, leading to variability in AM products. For comprehensive uncertainty quantification (UQ) of AM processes, we present a physics-informed data-driven modeling framework, in which multilevel data-driven surrogate models are constructed based on extensive computational data obtained by multiscale multiphysics...
Nucleation is a critically important process as the rate of nucleation determines the number density of new phase particles and thus microstructures of a material during phase transformations. Predicting and controlling nucleation rates in solids is one of the grand challenges in materials science because the spatial scale involved in nucleation is at the atomic/nanoscale, the rate of nucleation process...
We report our research activities on density functional theory-based alloy thermodynamics, including method/software developments, the integration of first-principles calculations, CALPHAD modeling, and the automation of phase diagram calculations. Examples to be discussed include phonon dispersions of rhombohedral BiFeO3, the solution to the long-outstanding problem of imaginary phonon frequencies...
The ingress of hydrogen during corrosion in service can degrade the mechanical properties of zirconium alloy nuclear fuel cladding because of the formation of brittle hydrides. The formation of these hydrides is reviewed in light of recent synchrotron radiation experimental results and phase-field modeling computational results that provide new insight on the process.
Seeking structure-property relationships is an accepted paradigmin materials science, yet these relationships are often not linear. The challenge is to be able to link materials behavior and seek patterns among multiple length and time scales. Materials informatics and statistical learning techniques permit one to survey complex, multiscale information in an accelerated and statistically robust and...
For more information, contact Zi-Kui Liu at Pennsylvania State University, 209 Steidle Bldg., University Park, PA 16802; (814) 865-1934; fax (814) 865-2917; e-mail liu@matse.psu.edu.
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