Integrating Materials and Manufacturing Innovation

Papers
(The median citation count of Integrating Materials and Manufacturing Innovation is 2. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Is Domain Knowledge Necessary for Machine Learning Materials Properties?35
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data35
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials32
Effect of Particle Spreading Dynamics on Powder Bed Quality in Metal Additive Manufacturing28
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis24
Extracting Knowledge from DFT: Experimental Band Gap Predictions Through Ensemble Learning22
Model Selection and Evaluation for Machine Learning: Deep Learning in Materials Processing22
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems21
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning19
Benchmark AFLOW Data Sets for Machine Learning18
Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches17
Microstructure Characterization and Reconstruction in Python: MCRpy17
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning16
Crystal Plasticity Finite Element Modeling of Extension Twinning in WE43 Mg Alloys: Calibration and Validation16
A Harmony Search-Based Wrapper-Filter Feature Selection Approach for Microstructural Image Classification15
An Active Learning Approach for the Design of Doped LLZO Ceramic Garnets for Battery Applications15
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis14
AFRL Additive Manufacturing Modeling Series: Challenge 4, In Situ Mechanical Test of an IN625 Sample with Concurrent High-Energy Diffraction Microscopy Characterization12
The AFRL Additive Manufacturing Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-Based Method with Direct Input from a 3D Microstructural Image12
Temperature-Dependent Material Property Databases for Marine Steels—Part 1: DH3612
A Probabilistic Fatigue Framework to Enable Location-Specific Lifing for Critical Thermo-mechanical Engineering Applications12
High-Throughput Exploration of the Process Space in 18% Ni (350) Maraging Steels via Spherical Indentation Stress–Strain Protocols and Gaussian Process Models11
AMB2018-03: Benchmark Physical Property Measurements for Material Extrusion Additive Manufacturing of Polycarbonate11
Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography10
A Computer Vision Approach to Evaluate Powder Flowability for Metal Additive Manufacturing9
Benchmark Study of Melted Track Geometries in Laser Powder Bed Fusion of Inconel 6259
Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical Indentation Measurements9
The Simulation of Post-Heat Treatment in Selective Laser Melting Additive Manufacturing9
Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations9
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam8
AFRL Additive Manufacturing Modeling Challenge Series: Overview8
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates8
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection8
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning8
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks8
Uncertainty Quantification Accounting for Model Discrepancy Within a Random Effects Bayesian Framework8
Computer Vision Approaches for Segmentation of Nanoscale Precipitates in Nickel-Based Superalloy IN7188
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification8
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design8
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials7
A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models7
Mechanical Metrics of Virtual Polycrystals (MechMet)7
Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure7
Random Generation of Lattice Structures with Short-Range Order7
A Numerical Approach to Model Microstructure Evolution for NiTi Shape Memory Alloy in Laser Powder Bed Fusion Additive Manufacturing7
Temperature-Dependent Material Property Databases for Marine Steels—Part 2: HSLA-657
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization7
ITKMontage: A Software Module for Image Stitching7
Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing6
ICME Framework for Simulation of Microstructure and Property Evolution During Gas Metal Arc Welding in DP980 Steel6
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models6
PRISMS-Plasticity TM: An Open-Source Rapid Texture Evolution Analysis Pipeline6
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study6
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery6
Digital Protocols for Statistical Quantification of Microstructures From Microscopy Images of Polycrystalline Nickel-Based Superalloys6
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures6
Data-Driven Constitutive Model for the Inelastic Response of Metals: Application to 316H Steel6
Unsupervised Deep Learning for Laboratory-Based Diffraction Contrast Tomography5
XtalMesh Toolkit: High-Fidelity Mesh Generation of Polycrystals5
Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure Through Advanced Homogenization5
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-805
Optimizing Fractional Compositions to Achieve Extraordinary Properties5
A Comparative Study of Layer Heating and Continuous Heating Methods on Prediction Accuracy of Residual Stresses in Selective Laser Melted Tube Samples5
AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description5
Machine Learning-Enabled Uncertainty Quantification for Modeling Structure–Property Linkages for Fatigue Critical Engineering Alloys Using an ICME Workflow5
CrabNet for Explainable Deep Learning in Materials Science: Bridging the Gap Between Academia and Industry5
Intrinsic Dimensionality of Microstructure Data5
Data-Driven Modeling of Mechanical Properties for 17-4 PH Stainless Steel Built by Additive Manufacturing5
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets4
Discrepancy Between Crystal Plasticity Simulations and Far-Field High-Energy X-ray Diffraction Microscopy Measurements4
Comparative Assessment of Physics-Based Computational Models on the NIST Benchmark Study of Molten Pool Dimensions and Microstructure for Selective Laser Melting of Inconel 6254
Image Segmentation for Defect Analysis in Laser Powder Bed Fusion: Deep Data Mining of X-Ray Photography from Recent Literature4
Temperature-Dependent Material Property Databases for Marine Steels—Part 4: HSLA-1004
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V4
Universal Material Constants for MultiStage Fatigue (MSF) Modeling of the Process–Structure–Property (PSP) Relations of A000, 2000, 5000, and 7000 Series Aluminum Alloys4
Time-Resolved Geometric Feature Tracking Elucidates Laser-Induced Keyhole Dynamics4
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing4
The BAREFOOT Optimization Framework4
A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding4
3D Non-Destructive Characterization of Electrical Steels for Quantitative Texture Analysis with Lab-Based X-ray Diffraction Contrast Tomography3
Accurate Effective Stress Measures: Predicting Creep Life for 3D Stresses Using 2D and 1D Creep Rupture Simulations and Data3
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters3
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification3
Sequential Machine Learning Applications of Particle Packing with Large Size Variations3
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion3
An ICME Method for Predicting Phase Dissolution During Solution Treatment in Advanced Super Vacuum Die Cast Magnesium Alloys3
Integrated Computational Design of Three-Phase Mo–Si–B Alloy Turbine Blade for High-Temperature Aerospace Applications3
A Data-Driven Framework to Select a Cost-Efficient Subset of Parameters to Qualify Sourced Materials3
Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part I—Measurements of Spherical Indentation Stress–Strain Curves3
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images2
A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems2
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition2
Investigation of the Fatigue Life Scatter for AA7075-T6 Using Crystal Plasticity Finite Element Method in the High to Very High Cycle Fatigue Regime2
A New Numerical-Homogenization Method to Predict the Effective Permittivity of Composite Materials2
Reduced-Order Damage Assessment Model for Dual-Phase Steels2
AFRL Additive Manufacturing Modeling Series: Challenge 1, Characterization of Residual Strain Distribution in Additively-Manufactured Metal Parts Using Energy-Dispersive Diffraction2
A Bayesian Approach to the Eagar–Tsai Model for Melt Pool Geometry Prediction with Implications in Additive Manufacturing of Metals2
Consistent Quantification of Precipitate Shapes and Sizes in Two and Three Dimensions Using Central Moments2
Sputter-Deposited Mo Thin Films: Multimodal Characterization of Structure, Surface Morphology, Density, Residual Stress, Electrical Resistivity, and Mechanical Response2
Informing Mechanical Model Development Using Lower-Dimensional Descriptions of Lattice Distortion2
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