Architecture for Developing an Image Recognition Model Workflow for Workplace Safety Application

Automated 3D Microstructural Characterization of a Dual-Phase Steel Using the RASSI Platform

Building a Self-Driving Lab From Scratch

Customizing the NIMS RDE System for Optimal Data Management

Digital Twins for Accelerated Materials Innovation

Efficient, Coupled Process-Structure-Property Simulations of Additive Manufacturing Using the “Materialize” Framework

Enhancing AI Readiness Through Data Stewardship, Modular Ontologies, and FAIR Data Workflows

FactoryNet: A Labeled Image Dataset for the Manufacturing Environment

Faster Prediction With AI/ML for Manufacturing: Using Simulations and Production Data Develop Fast-Running Inference Models and Knowledge Tools for Manufacturing

FIB-SEM Serial Sectioning Tomography: Towards 24-Hour Time-to-Results

Generalized Graph Foundation Models as Versatile Data-Driven Digital Twins for Complex Technological Systems

Harnessing Deep Learning Conditional Diffusion Models for Microscopy Modality Transfer of Light Optical Microscopy to Electron Backscattering Microscopy Diffraction Misorientations

Harnessing Multi-Modal Metrology Data for Predictive Modeling in Laser Powder Directed Energy Deposition

Hydro Quebec Efforts Toward ICME: Characterizing the Microscale Tensile Behavior of Hydraulic Turbine Steels With Micro-Tensile and Nano-Indentation Tests

Influence of 3D Crack Networks for High Toughness Responses in Tantalum Carbides

Innovations in 3D EBSD for Advanced Materials Characterization

Manufacturing and Control of Fiber Reinforced Polymer Composites Through FMEA-Based Digital Twin

Materials Microstructure Design Integrated With Image-Based Simulation

Modelling Physical-to-Virtual Feedback Flow of Digital Twins for Induction Furnace

Modular and Interoperable Materials Data Science Ontology (MDS-Onto) for Knowledge Graphs and Semantic Reasoning

NFDI MatWerk Ontology: A Framework for FAIR Data Management in the Materials Science and Engineering

NIMS's Data-Driven Materials Research Platform: Enhancing MLOps With Literature-Based Data Integration

Ontology-Based Materials Data Management for High Temperature Alloy Oxidation Data

Pinax: A Machine Learning Platform for Data-Driven Materials Development

Practical Data Management in Computational Materials for Qualification and Certification

The HPC4EI Program Connects Industry Partners With National Lab HPC and AI/ML Resources

The Materials Science and Engineering Knowledge Graph: Establishing a Centralized Metadata Index for Enhanced Data Integration

Toward Sentient Manufacturing

Towards Structured Data Spaces: Prototypical Application of Semantic Technologies as a Driver for Innovation in Materials Science

Transforming Materials Science With Concepts for a Semantically Accessible Data Space

Uncertainty Quantification, Error Propagation, and Sensitivity Analysis for Synchrotron X-Ray Residual Stress Measurements

Using Novel EBSD Methods to Analyze Plastic Strain in Structural Alloys

X-Ray Diffraction Analysis Using TensorFlow and FAIR Data Pipelines

"Advanced Calibration of GTN Damage Model for Aluminum Alloy AA6111 Using Digital Image Correlation and Bayesian Inference"

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