Uncertainty quantification and propagation in computational materials science and simulation-assisted materials design
P Honarmandi, R Arróyave - Integrating Materials and Manufacturing …, 2020 - Springer
Significant advances in theory, simulation tools, advanced computing infrastructure, and
experimental frameworks have enabled the field of materials science to become …
experimental frameworks have enabled the field of materials science to become …
Integrated High‐Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion‐Resistant Alloys
Insufficient availability of molten salt corrosion‐resistant alloys severely limits the fruition of a
variety of promising molten salt technologies that could otherwise have significant societal …
variety of promising molten salt technologies that could otherwise have significant societal …
Uncertainty reduction and quantification in computational thermodynamics
R Otis - Computational Materials Science, 2022 - Elsevier
Uncertainty quantification is an important part of materials science and serves a role not only
in assessing the accuracy of a given model, but also in the rational reduction of uncertainty …
in assessing the accuracy of a given model, but also in the rational reduction of uncertainty …
Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling
Calculation of phase diagrams is one of the fundamental tools in alloy design—more
specifically under the framework of Integrated Computational Materials Engineering …
specifically under the framework of Integrated Computational Materials Engineering …
Quantified uncertainty in thermodynamic modeling for materials design
Phase fractions, compositions and energies of the stable phases as a function of
macroscopic composition, temperature, and pressure (XTP) are the principle correlations …
macroscopic composition, temperature, and pressure (XTP) are the principle correlations …
Bayesian strategies for uncertainty quantification of the thermodynamic properties of materials
Reliable models of the thermodynamic properties of materials are critical for industrially
relevant applications that require a good understanding of equilibrium phase diagrams …
relevant applications that require a good understanding of equilibrium phase diagrams …
A rigorous test and improvement of the Eagar-Tsai model for melt pool characteristics in laser powder bed fusion additive manufacturing
The accurate prediction of the thermal histories and melt pool characteristics during additive
manufacturing (AM) is necessary to understand the factors responsible for the quality and …
manufacturing (AM) is necessary to understand the factors responsible for the quality and …
Automated assessment of a kinetic database for fcc Co–Cr–Fe–Mn–Ni high entropy alloys
K Abrahams, S Zomorodpoosh… - … and Simulation in …, 2021 - iopscience.iop.org
The development of accurate kinetic databases by parametrizing the composition and
temperature dependence of elemental atomic mobilities, is essential for correct …
temperature dependence of elemental atomic mobilities, is essential for correct …
Investigation of the discontinuous precipitation of U-Nb alloys via thermodynamic analysis and phase-field modeling
U-Nb's discontinuous precipitation, γ matrix bcc→ α cellular orth+ γ cellular′ bcc, is
intriguing in the sense that it allows formation and growth of the metastable γ′ phase during …
intriguing in the sense that it allows formation and growth of the metastable γ′ phase during …
[HTML][HTML] Uncertainty quantification and propagation across a multi-model computational framework for the tailored design of additively manufactured shape memory …
Integrated computational materials engineering (ICME) combines the utility and efficiency of
simulations with experimentation to drive forward materials design and discovery. These …
simulations with experimentation to drive forward materials design and discovery. These …