High-throughput determination of high-quality interdiffusion coefficients in metallic solids: a review
Accurate interdiffusion coefficients of composition and temperature dependence are
significantly important for understanding different materials processes. However, the high …
significantly important for understanding different materials processes. However, the high …
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 …
Bayesian optimization objective-based experimental design
M Imani, SF Ghoreishi - 2020 American control conference …, 2020 - ieeexplore.ieee.org
Design has become a salient part of most of the scientific and engineering tasks, embracing
a wide range of domains including real experimental settings (eg, material discovery or drug …
a wide range of domains including real experimental settings (eg, material discovery or drug …
The effects and utility of homogenization and thermodynamic modeling on microstructure and mechanical properties of SS316/IN718 functionally graded materials …
As driven by the need of structural integration and functionalization in modern society,
functionally graded material (FGM) with multiple materials is highly demanded for rapidly …
functionally graded material (FGM) with multiple materials is highly demanded for rapidly …
Recent progress of uncertainty quantification in small-scale materials science
P Acar - Progress in Materials Science, 2021 - Elsevier
This work addresses a comprehensive review of the recent efforts for uncertainty
quantification in small-scale materials science. Experimental and computational studies for …
quantification in small-scale materials science. Experimental and computational studies for …
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 …
A novel computational framework for establishment of atomic mobility database directly from composition profiles and its uncertainty quantification
In this work, a novel computational framework for establishment of atomic mobility database
directly from the experimental composition profiles and its uncertainty quantification was …
directly from the experimental composition profiles and its uncertainty quantification was …
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 …
Uncertainty quantification and propagation across a multi-model computational framework for the tailored design of additively manufactured shape memory alloys
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 …
Uncertainty quantification of phase boundary in a composition-phase map via Bayesian strategies
B Wu, H Zhang, Y Zhou, L Zhang, H Wang - Physical Review Materials, 2023 - APS
Phase boundary indicates the conditions of transition between phase regions, which is a key
constituent of a phase diagram. We propose an approach to determine the phase boundary …
constituent of a phase diagram. We propose an approach to determine the phase boundary …