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 2020-11-01 to 2024-11-01.)

Article	Citations
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data	45
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials	37
Effect of Particle Spreading Dynamics on Powder Bed Quality in Metal Additive Manufacturing	31
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis	27
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning	24
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems	23
An Active Learning Approach for the Design of Doped LLZO Ceramic Garnets for Battery Applications	21
Microstructure Characterization and Reconstruction in Python: MCRpy	21
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning	18
Crystal Plasticity Finite Element Modeling of Extension Twinning in WE43 Mg Alloys: Calibration and Validation	16
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis	16
A Harmony Search-Based Wrapper-Filter Feature Selection Approach for Microstructural Image Classification	16
The AFRL Additive Manufacturing Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-Based Method with Direct Input from a 3D Microstructural Image	15
A Probabilistic Fatigue Framework to Enable Location-Specific Lifing for Critical Thermo-mechanical Engineering Applications	14
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam	14
AFRL Additive Manufacturing Modeling Series: Challenge 4, In Situ Mechanical Test of an IN625 Sample with Concurrent High-Energy Diffraction Microscopy Characterization	14
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates	13
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials	11
Random Generation of Lattice Structures with Short-Range Order	11
Benchmark Study of Melted Track Geometries in Laser Powder Bed Fusion of Inconel 625	11
Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure	10
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification	10
AFRL Additive Manufacturing Modeling Challenge Series: Overview	10
A Computer Vision Approach to Evaluate Powder Flowability for Metal Additive Manufacturing	10
Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography	10

Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical Indentation Measurements	10
ITKMontage: A Software Module for Image Stitching	9
Mechanical Metrics of Virtual Polycrystals (MechMet)	9
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization	9
Computer Vision Approaches for Segmentation of Nanoscale Precipitates in Nickel-Based Superalloy IN718	9
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks	9
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection	9
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion	9
The Simulation of Post-Heat Treatment in Selective Laser Melting Additive Manufacturing	9
A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models	8
AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description	8
Digital Protocols for Statistical Quantification of Microstructures From Microscopy Images of Polycrystalline Nickel-Based Superalloys	8
Temperature-Dependent Material Property Databases for Marine Steels—Part 2: HSLA-65	8
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery	8
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning	8
Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing	8
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design	8
A Numerical Approach to Model Microstructure Evolution for NiTi Shape Memory Alloy in Laser Powder Bed Fusion Additive Manufacturing	7
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models	7
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study	7
A Comparative Study of Layer Heating and Continuous Heating Methods on Prediction Accuracy of Residual Stresses in Selective Laser Melted Tube Samples	7
Comparative Assessment of Physics-Based Computational Models on the NIST Benchmark Study of Molten Pool Dimensions and Microstructure for Selective Laser Melting of Inconel 625	7