Advancing AI-Driven Analysis of Synchrotron Data via FAIR Practices, Ontology and Knowledge Graphs

Advancing Sustainable Agriculture Through Multiscale Spatiotemporal Data Integration and High-Performance Computing

Aligning Grains in Time-Series Laboratory Diffraction Contrast Tomography (LabDCT) Data for Machine Learning of Microstructure Evolution

Autonomous Approaches for Determining Structure-Processing-Property Relationships in Materials

Categorization of Fracture Surfaces Using Deep Learning-Enabled 2D Image Analysis

Deep Learning Accelerated Lab-Scale X-Ray Computed Tomography of Low-Melting-Point Solder Alloys Used in Heterogeneously Integrated Semiconductor Packages

Enhancing Rietveld Refinement Analyses with Machine Learning Techniques

Extraction of Local Scalar 3D Microstructural Properties of SOFC Electrodes from 2D Micrographs Using Convolutional Neural Networks

Feature Extraction from SEM Images of Fatigue Fracture Surfaces

Foundation Models for Multimodal Data Mining with Applications in Materials Science

Hierarchical Bayesian Models for Automating Structural Materials Characterization

Synthetic 3D Microstructure Generation of Solid Oxide Cell Electrodes Using Denoising Diffusion Models

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