Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …
understanding of materials behavior has been the focus of many works in computational …
Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications
M Sahimi, P Tahmasebi - Physics Reports, 2021 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
An improved 3D microstructure reconstruction approach for porous media
KQ Li, Y Liu, ZY Yin - Acta Materialia, 2023 - Elsevier
Microstructure reconstruction of porous media is vital for the evaluation of material
properties, which has been applied in many fields. Various approaches have been …
properties, which has been applied in many fields. Various approaches have been …
[HTML][HTML] Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
The generation of multiphase porous electrode microstructures is a critical step in the
optimisation of electrochemical energy storage devices. This work implements a deep …
optimisation of electrochemical energy storage devices. This work implements a deep …
Reconstruction of 3D microstructures from 2D images via transfer learning
R Bostanabad - Computer-Aided Design, 2020 - Elsevier
Computational analysis, modeling, and prediction of many phenomena in materials require
a three-dimensional (3D) microstructure sample that embodies the salient features of the …
a three-dimensional (3D) microstructure sample that embodies the salient features of the …
[HTML][HTML] Super-resolving material microstructure image via deep learning for microstructure characterization and mechanical behavior analysis
The digitized format of microstructures, or digital microstructures, plays a crucial role in
modern-day materials research. Unfortunately, the acquisition of digital microstructures …
modern-day materials research. Unfortunately, the acquisition of digital microstructures …
Digital transformation of thermal and cold spray processes with emphasis on machine learning
K Malamousi, K Delibasis, B Allcock… - Surface and Coatings …, 2022 - Elsevier
Thermal spray technologies continuously evolve to meet new challenges arising from
current and future market needs and requirements. This evolution has been well …
current and future market needs and requirements. This evolution has been well …
Challenges and status on design and computation for emerging additive manufacturing technologies
The revolution of additive manufacturing (AM) has led to many opportunities in fabricating
complex and novel products. The increase of printable materials and the emergence of …
complex and novel products. The increase of printable materials and the emergence of …
Influence of geometry on columnar to equiaxed transition during electron beam powder bed fusion of IN718
Correlation between spot-melt scan parameters (linear spot-density aka areal energy
density), build geometry, and solidification microstructure evolution (columnar vs equiaxed) …
density), build geometry, and solidification microstructure evolution (columnar vs equiaxed) …
Local–global decompositions for conditional microstructure generation
Conditional microstructure generation tools offer an important, inexpensive pathway to
constructing statistically diverse datasets for Integrated Computational Materials …
constructing statistically diverse datasets for Integrated Computational Materials …