Computer vision on x-ray data in industrial production and security applications: A comprehensive survey
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …
condition of different organs, and in recent years, it has become more common in other …
Theory+ AI/ML for microscopy and spectroscopy: Challenges and opportunities
Advances in instrumentation for experimental characterization of materials such as
microscopy and spectroscopy have led to an explosion in information available on materials …
microscopy and spectroscopy have led to an explosion in information available on materials …
Roadmap for focused ion beam technologies
The focused ion beam (FIB) is a powerful tool for fabrication, modification, and
characterization of materials down to the nanoscale. Starting with the gallium FIB, which was …
characterization of materials down to the nanoscale. Starting with the gallium FIB, which was …
A strategic approach to machine learning for material science: how to tackle real-world challenges and avoid pitfalls
The exponential growth and success of machine learning (ML) has resulted in its application
in all scientific domains including material science. Advancement in experimental …
in all scientific domains including material science. Advancement in experimental …
Multi-scale coal and gangue dual-energy X-ray image concave point detection and segmentation algorithm
The premise of identifying, locating, and sorting coal and gangue using photoelectric sorting
technology is that independent image targets should be obtained. In this study, concave …
technology is that independent image targets should be obtained. In this study, concave …
The influence of grain shape and size on the relationship between porosity and permeability in sandstone: A digital approach
An accurate and reliable description of the porosity–permeability relationship in geological
materials is valuable in understanding subsurface fluid movement. This is important for …
materials is valuable in understanding subsurface fluid movement. This is important for …
Map** the architecture of single lithium ion electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation
Accurately quantifying the architecture of lithium ion electrode particles in 3D is critical to
understanding sub-particle lithium transport, rate limitations, and degradation mechanisms …
understanding sub-particle lithium transport, rate limitations, and degradation mechanisms …
Artificial generation of representative single Li-ion electrode particle architectures from microscopy data
Accurately capturing the architecture of single lithium-ion electrode particles is necessary for
understanding their performance limitations and degradation mechanisms through multi …
understanding their performance limitations and degradation mechanisms through multi …
[BOOK][B] Tortuosity and microstructure effects in porous media: classical theories, empirical data and modern methods
This open access book presents a thorough look at tortuosity and microstructure effects in
porous materials. The book delivers a comprehensive review of the subject, summarizing all …
porous materials. The book delivers a comprehensive review of the subject, summarizing all …
[HTML][HTML] Optimization of wire-EDM process parameters for Ni–Ti-Hf shape memory alloy through particle swarm optimization and CNN-based SEM-image classification
V Balaji, S Narendranath - Results in Engineering, 2023 - Elsevier
Shape memory alloys (SMAs) have the unique ability to regain their shape under specified
conditions, making them extremely useful for a wide range of applications. However, non …
conditions, making them extremely useful for a wide range of applications. However, non …