OOIR: Observatory of International Research

Papers

(The TQCC of Integrating Materials and Manufacturing Innovation is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)

Article	Citations
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC	55
Correction: AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions	47
Evolution of Model-Based Materials Definitions	32
Natural Language Processing-Driven Microscopy Ontology Development	31
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models	29
WATMUS: Wavelet Transformation-Induced Multi-time Scaling for Accelerating Fatigue Simulations at Multiple Spatial Scales	25
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection	20
Investigation of the Fatigue Life Scatter for AA7075-T6 Using Crystal Plasticity Finite Element Method in the High to Very High Cycle Fatigue Regime	19
Statistical Estimation of Strain Using Spatial Correlation Functions	18
Predicting Melt Pool Dimensions for Wire-Feed Directed Energy Deposition Process	18
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design	17
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery	16
Additive Manufacturing Benchmark 2022 Subcontinuum Mesoscale Tensile Challenge (CHAL-AMB2022-04-MeTT) and Summary of Predictions	16
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing	15
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging	15
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module	15
Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata	14
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition	14
Design and Optimization of Manufacturing Process of Polymer Composites Through Multiscale Cure Analysis and NSGA-II	13
L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration	12
Heat Source Model Development for Thermal Analysis of Laser Powder Bed Fusion Using Bayesian Optimization and Machine Learning	11
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI	11
Computational Alloy Design for Process-Related Uncertainties in Powder Metallurgy	11
Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference	10
Sputter-Deposited Mo Thin Films: Characterization of Grain Structure and Monte Carlo Simulations of Sputtered Atom Energies and Incidence Angles	10

Automatic Detection of Dendritic Microstructure Using Computer Vision Deep Learning Models Trained with Phase Field Simulations	10
Rapid Grain Segmentation of Heat-treated and Annealed LPBF Haynes 282 Using an Unsupervised Learning-Based Computer Vision Approach	10
A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding	9
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials	9
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis	9
A Common Data Dictionary and Common Data Model for Additive Manufacturing	9
The BAREFOOT Optimization Framework	9
Correction: A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion	9
A Workflow for Accelerating Multimodal Data Collection for Electrodeposited Films	9
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning	9
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates	8
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy	8
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-80	8
A Case Study of Beta-Variational Auto-encoders, Disentanglement Impacts of Input Distribution and Beta-Variation Based Upon a Computational Multi-modal Particle Packing Simulation	8
Coupled Thermal Solidification Process Simulation of Sapphire Growth	8
Multi-objective Optimization-Oriented Generative Adversarial Design for Multi-principal Element Alloys	7
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges	7
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations	7
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds	7
Annotating Materials Science Text: A Semi-automated Approach for Crafting Outputs with Gemini Pro	7
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators	7
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community	7
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing	7