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Correlative image learning of chemo-mechanics in phase-transforming solids
Constitutive laws underlie most physical processes in nature. However, learning such equations in heterogeneous solids (for example, due to phase...
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Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images
Phase transformations in materials systems can be tracked using atomic force microscopy (AFM), enabling the examination of surface properties and...
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Prediction of electrode microstructure evolutions with physically constrained unsupervised image-to-image translation networks
Microstructure of electrodes determines the performance of electrochemical devices such as fuel cells and batteries. The efficiency and economic...
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Image-Based Predictions
This chapter explores the application of machine learningMachine learning (ML) algorithms to image-based data for a comprehensive understanding of...
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A General Materials Data Science Framework for Quantitative 2D Analysis of Particle Growth from Image Sequences
Phase transformations are a challenging problem in materials science, which lead to changes in properties and may impact performance of material...
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Digital image processing realized by memristor-based technologies
Today performance and operational efficiency of computer systems on digital image processing are exacerbated owing to the increased complexity of...
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Blue Phase Liquid Crystals
Investigation of chirality in liquid crystals is an exciting area of science of mesophases. Many frustrated phases are induced by chirality including...
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Gas-Phase Modifications of Carbon Nanostructures
Low dispersibility in aqueous medium caused by van der Waals forces results in the agglomeration and bundle formation during the processing and...
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Strain Analysis of Multi-Phase Steel Using In-Situ EBSD Tensile Testing and Digital Image Correlation
AbstractAn in-situ analysis of local strain accommodation on transformation induced plasticity (TRIP) aided multi-phase steel was performed with a...
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Flexible Unsupervised Binary Change Detection Algorithm Identifies Phase Transitions in Continuous Image Streams
Sequences of projection images collected during in situ tomography experiments can capture the formation of patterns in crystallization and yield...
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Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts
Additive manufacturing (AM) technologies offer unprecedented design flexibility but are limited by a lack of understanding of the material...
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Phase Transitions in Layered Film Systems
In addition to measuring the crystallization temperatures of supercooled melts, supercooling studies suppose obtaining information on the kinetics of...
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Liquid Phase Modifications of Carbon Nanostructures
Carbon nanostructures have garnered immense attention since time immemorial. Owing to the tunability of these nanostructures, scientists look for...
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Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc
The unprecedented success of image reconstruction approaches based on deep neural networks has revolutionised both the processing and the analysis...
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EDS-PhaSe: Phase Segmentation and Analysis from EDS Elemental Map Images Using Markers of Elemental Segregation
Scanning electron microscopy (SEM), combined with energy-dispersive spectroscopy (EDS), is an extensively used technique for in-depth microstructural...
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Multi-Phase Shear Thickening Fluid
Multi-phase shear thickening fluids (STFs) are mixture of single-phase STFs and specific additives that allow the rheological properties of STFs to...
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On-device phase engineering
In situ tailoring of two-dimensional materials’ phases under external stimulus facilitates the manipulation of their properties for electronic,...
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Study on the relationship between TCP phase and AlN phase in a fourth-generation single-crystal superalloy
The enhanced mechanical properties of Ni-based single-crystal superalloys induced by refractory elements such as Re, Wo, Mo, etc. are essential for...
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Automated Metal Cleanliness Analyzer (AMCA): Digital Image Analysis Phase Differentiation and Benchmarking Against PoDFA-Derived Cleanliness Data
Assessing metal cleanlinessMetal cleanliness of aluminumAluminum meltsMelt is critical for product quality control, as well as for process...
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Improvement of TFM-Image Quality due to Correction for “Stray” Delays between Antenna Array Elements
AbstractThe quality of the reflector image reconstructed by the digital antenna focusing (DFA) method deteriorates due to nonoptimal focusing if...
