Diffusion coefficients in a five-component high entropy alloy are extracted over a wide composition range by combining three strategic diffusion couples with a constraint-anchored physics-informed neural network.
The intrinsic fluxes are calculated at thi s plane
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cond-mat.mtrl-sci 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Extracting Composition-Dependent Diffusion Coefficients Over a Very Large Composition Range in NiCoFeCrMn High Entropy Alloy Following Strategic Design of Diffusion Couples and Physics Informed Neural Network Numerical Method
Diffusion coefficients in a five-component high entropy alloy are extracted over a wide composition range by combining three strategic diffusion couples with a constraint-anchored physics-informed neural network.