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Generative methods for microstructure 3D reconstruction from 2D images
Joonas Linnosmaa
BA5503 ProperTune AI
Research output
:
Thesis
›
Master's thesis
Overview
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Dive into the research topics of 'Generative methods for microstructure 3D reconstruction from 2D images'. Together they form a unique fingerprint.
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Keyphrases
Microstructure
100%
3D Microstructure
100%
3D Reconstruction
100%
2D Image
100%
Integrated Computational Materials Engineering
100%
Generative Methods
100%
SliceGAN
75%
Materials Science
50%
Physical Properties
25%
Mechanical Properties
25%
3D Structure
25%
Two Dimensional
25%
Training Data
25%
Three-dimensional (3D)
25%
Experimental Validation
25%
Computational Modeling
25%
Evaluation Method
25%
Synthetic Data
25%
Material Performance
25%
Phase Structure
25%
Material Development
25%
Material Properties
25%
Cost Efficiency
25%
Material Structure
25%
Evaluation Tool
25%
Machine Learning Techniques
25%
Material Microstructure
25%
Microstructure Properties
25%
Data Availability
25%
Processing Properties
25%
Processed Material
25%
Numerical Evaluation
25%
X-ray Computed Tomography (X-CT)
25%
Data-driven Modeling
25%
Solid Oxide Fuel Cell Anode
25%
2D to 3D
25%
Laboratory Equipment
25%
Swift
25%
Visual Evaluation
25%
Conventional Measurements
25%
Innovation Costs
25%
Tool Presentation
25%
Anisotropic Porous Media
25%
Generative Capability
25%
2D/3D Reconstruction
25%
Transformative Approach
25%
Microstructure Generation
25%
Training Volume
25%
Accelerated Innovation
25%
Synthetic Training
25%
Ni-rich Cathode
25%
Diverse Microstructures
25%
Measurement Basis
25%
3D Microstructure Reconstruction
25%
Experimental Dataset
25%
Training Methodology
25%
INIS
images
100%
microstructure
100%
engineering
50%
tools
37%
data
37%
cost
37%
evaluation
37%
algorithms
37%
performance
12%
efficiency
12%
reviews
12%
x radiation
12%
pipelines
12%
processing
12%
physical properties
12%
mechanical properties
12%
experimental data
12%
scanning electron microscopy
12%
machine learning
12%
modeling
12%
distribution
12%
volume
12%
validation
12%
capacity
12%
computerized simulation
12%
availability
12%
porous materials
12%
anodes
12%
solid oxide fuel cells
12%
anisotropy
12%
orientation
12%
computerized tomography
12%
cathodes
12%
gallium nitrides
12%
laboratory equipment
12%
Engineering
Integrated Computational Material Engineering
100%
Material Performance
25%
Anisotropic
25%
Two Dimensional
25%
Microscale
25%
Material Development
25%
Numerical Evaluation
25%
Experimental Data Set
25%
Solid Oxide Fuel Cells
25%
Cost Efficiency
25%
Phase Structure
25%
Learning System
25%
Porosity
25%
Material Science
Materials Engineering
100%
Phase Structure
25%
Cathode
25%
Anode
25%
Scanning Electron Microscopy
25%
Materials Property
25%
Physical Property
25%
Oxide Compound
25%
Chemical Engineering
Learning System
100%