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 2020-04-01 to 2024-04-01.)

Article	Citations
Is Domain Knowledge Necessary for Machine Learning Materials Properties?	34
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data	32
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials	30
Effect of Particle Spreading Dynamics on Powder Bed Quality in Metal Additive Manufacturing	28
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis	24
Extracting Knowledge from DFT: Experimental Band Gap Predictions Through Ensemble Learning	22
Model Selection and Evaluation for Machine Learning: Deep Learning in Materials Processing	21
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems	21
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning	18
Benchmark AFLOW Data Sets for Machine Learning	18
Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches	17
Crystal Plasticity Finite Element Modeling of Extension Twinning in WE43 Mg Alloys: Calibration and Validation	16
Microstructure Characterization and Reconstruction in Python: MCRpy	15
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning	15
A Harmony Search-Based Wrapper-Filter Feature Selection Approach for Microstructural Image Classification	14
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis	14
An Active Learning Approach for the Design of Doped LLZO Ceramic Garnets for Battery Applications	14
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	12
AFRL Additive Manufacturing Modeling Series: Challenge 4, In Situ Mechanical Test of an IN625 Sample with Concurrent High-Energy Diffraction Microscopy Characterization	12
A Probabilistic Fatigue Framework to Enable Location-Specific Lifing for Critical Thermo-mechanical Engineering Applications	12
Temperature-Dependent Material Property Databases for Marine Steels—Part 1: DH36	12
AMB2018-03: Benchmark Physical Property Measurements for Material Extrusion Additive Manufacturing of Polycarbonate	11
High-Throughput Exploration of the Process Space in 18% Ni (350) Maraging Steels via Spherical Indentation Stress–Strain Protocols and Gaussian Process Models	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	9
Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography	9

The Simulation of Post-Heat Treatment in Selective Laser Melting Additive Manufacturing	9
Benchmark Study of Melted Track Geometries in Laser Powder Bed Fusion of Inconel 625	9
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam	8
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks	8
Uncertainty Quantification Accounting for Model Discrepancy Within a Random Effects Bayesian Framework	8
Computer Vision Approaches for Segmentation of Nanoscale Precipitates in Nickel-Based Superalloy IN718	8
A Computer Vision Approach to Evaluate Powder Flowability for Metal Additive Manufacturing	8
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection	8
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning	8
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification	8
Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations	8
A Numerical Approach to Model Microstructure Evolution for NiTi Shape Memory Alloy in Laser Powder Bed Fusion Additive Manufacturing	7
Temperature-Dependent Material Property Databases for Marine Steels—Part 2: HSLA-65	7
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization	7
Mechanical Metrics of Virtual Polycrystals (MechMet)	7
AFRL Additive Manufacturing Modeling Challenge Series: Overview	7
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates	7
ITKMontage: A Software Module for Image Stitching	7
Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure	7
Random Generation of Lattice Structures with Short-Range Order	7
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design	7