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 …
[HTML][HTML] Thermo-mechanical and phase prediction of Ni25Al25Co14Fe14Ti9Mn8Cr5 high entropy alloys system using THERMO-CALC
This study focuses on predicting phases and thermo-mechanical properties of NiAl-Ti-Mn-
Co-Fe-Cr High Entropy Alloys (HEAs) using THERMOCALC software version 2021b with the …
Co-Fe-Cr High Entropy Alloys (HEAs) using THERMOCALC software version 2021b with the …
Solubility Data of Eight Common Alloying Elements in Magnesium
The solubility values of eight common alloying elements Al, Ca, Ce, Gd, Nd, Sn, Y and Zn in
hcp Mg are experimentally measured from diffusion profiles obtained from diffusion multiples …
hcp Mg are experimentally measured from diffusion profiles obtained from diffusion multiples …
[图书][B] Computational design of additively manufactured functionally graded materials by thermodynamic modeling with uncertainty quantification
B Bocklund - 2021 - search.proquest.com
Thermodynamics is language for describing the equilibrium and non-equilibrium states of
the microscopic and macroscopic systems that make up our universe. In materials science …
the microscopic and macroscopic systems that make up our universe. In materials science …
Operator-induced structural variable selection for identifying materials genes
S Ye, TP Senftle, M Li - Journal of the American Statistical …, 2024 - Taylor & Francis
In the emerging field of materials informatics, a fundamental task is to identify
physicochemically meaningful descriptors, or materials genes, which are engineered from …
physicochemically meaningful descriptors, or materials genes, which are engineered from …
[图书][B] Development of a Primary Solidification Mode Diagram for Austenitic Stainless Steel Weld Metals Using CALPHAD-Based Modeling
BJ Sutton - 2021 - search.proquest.com
The primary solidification mode of austenitic stainless steel weld metals strongly dictates
solidification cracking susceptibility. Provided that primary solidification mode selection is …
solidification cracking susceptibility. Provided that primary solidification mode selection is …
Uncertainty Propagation of Unary Components for the Bayesian Inference of N-Nary Phase Diagrams: Example of Cu-Mg
JJ Gabriel, NH Paulson - Available at SSRN 4363762 - papers.ssrn.com
Uncertainty in phase diagrams has been quantified with success for binary systems.
However, the uncertainty in the unary components had not been considered in such …
However, the uncertainty in the unary components had not been considered in such …
[引用][C] Operator-induced structural variable selection with applications to materials genomes
S Ye, TP Senftle, M Li - arXiv preprint arXiv:2110.10195, 2021