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 2020-11-01 to 2024-11-01.)
ArticleCitations
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data45
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials37
Effect of Particle Spreading Dynamics on Powder Bed Quality in Metal Additive Manufacturing31
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis27
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning24
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems23
An Active Learning Approach for the Design of Doped LLZO Ceramic Garnets for Battery Applications21
Microstructure Characterization and Reconstruction in Python: MCRpy21
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning18
Crystal Plasticity Finite Element Modeling of Extension Twinning in WE43 Mg Alloys: Calibration and Validation16
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis16
A Harmony Search-Based Wrapper-Filter Feature Selection Approach for Microstructural Image Classification16
The AFRL Additive Manufacturing Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-Based Method with Direct Input from a 3D Microstructural Image15
A Probabilistic Fatigue Framework to Enable Location-Specific Lifing for Critical Thermo-mechanical Engineering Applications14
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam14
AFRL Additive Manufacturing Modeling Series: Challenge 4, In Situ Mechanical Test of an IN625 Sample with Concurrent High-Energy Diffraction Microscopy Characterization14
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates13
Benchmark Study of Melted Track Geometries in Laser Powder Bed Fusion of Inconel 62511
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials11
Random Generation of Lattice Structures with Short-Range Order11
Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical Indentation Measurements10
Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure10
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification10
AFRL Additive Manufacturing Modeling Challenge Series: Overview10
A Computer Vision Approach to Evaluate Powder Flowability for Metal Additive Manufacturing10
Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography10
ITKMontage: A Software Module for Image Stitching9
Mechanical Metrics of Virtual Polycrystals (MechMet)9
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization9
Computer Vision Approaches for Segmentation of Nanoscale Precipitates in Nickel-Based Superalloy IN7189
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks9
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection9
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion9
The Simulation of Post-Heat Treatment in Selective Laser Melting Additive Manufacturing9
A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models8
AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description8
Digital Protocols for Statistical Quantification of Microstructures From Microscopy Images of Polycrystalline Nickel-Based Superalloys8
Temperature-Dependent Material Property Databases for Marine Steels—Part 2: HSLA-658
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery8
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning8
Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing8
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design8
A Numerical Approach to Model Microstructure Evolution for NiTi Shape Memory Alloy in Laser Powder Bed Fusion Additive Manufacturing7
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models7
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study7
A Comparative Study of Layer Heating and Continuous Heating Methods on Prediction Accuracy of Residual Stresses in Selective Laser Melted Tube Samples7
Comparative Assessment of Physics-Based Computational Models on the NIST Benchmark Study of Molten Pool Dimensions and Microstructure for Selective Laser Melting of Inconel 6257
CrabNet for Explainable Deep Learning in Materials Science: Bridging the Gap Between Academia and Industry6
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures6
Machine Learning-Enabled Uncertainty Quantification for Modeling Structure–Property Linkages for Fatigue Critical Engineering Alloys Using an ICME Workflow6
XtalMesh Toolkit: High-Fidelity Mesh Generation of Polycrystals6
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing6
A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding6
Optimizing Fractional Compositions to Achieve Extraordinary Properties6
PRISMS-Plasticity TM: An Open-Source Rapid Texture Evolution Analysis Pipeline6
Discrepancy Between Crystal Plasticity Simulations and Far-Field High-Energy X-ray Diffraction Microscopy Measurements6
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification5
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets5
Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure Through Advanced Homogenization5
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-805
Image Segmentation for Defect Analysis in Laser Powder Bed Fusion: Deep Data Mining of X-Ray Photography from Recent Literature5
Temperature-Dependent Material Property Databases for Marine Steels—Part 4: HSLA-1005
Data-Driven Modeling of Mechanical Properties for 17-4 PH Stainless Steel Built by Additive Manufacturing5
Time-Resolved Geometric Feature Tracking Elucidates Laser-Induced Keyhole Dynamics5
Intrinsic Dimensionality of Microstructure Data5
The BAREFOOT Optimization Framework5
Reduced-Order Damage Assessment Model for Dual-Phase Steels4
Location-Specific Microstructure Characterization Within AM Bench 2022 Laser Tracks on Bare Nickel Alloy 718 Plates4
Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part I—Measurements of Spherical Indentation Stress–Strain Curves4
3D Non-Destructive Characterization of Electrical Steels for Quantitative Texture Analysis with Lab-Based X-ray Diffraction Contrast Tomography4
A Data-Driven Framework to Select a Cost-Efficient Subset of Parameters to Qualify Sourced Materials4
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters4
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images4
Workflow for Robotic Point-of-Care Manufacturing of Personalized Maxillofacial Graft Fixation Hardware4
Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants4
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V4
Sputter-Deposited Mo Thin Films: Multimodal Characterization of Structure, Surface Morphology, Density, Residual Stress, Electrical Resistivity, and Mechanical Response3
Accurate Effective Stress Measures: Predicting Creep Life for 3D Stresses Using 2D and 1D Creep Rupture Simulations and Data3
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning3
A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems3
Integrated Computational Design of Three-Phase Mo–Si–B Alloy Turbine Blade for High-Temperature Aerospace Applications3
A Comparative Study of Clustering Methods for Nanoindentation Mapping Data3
Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing3
A Bayesian Approach to the Eagar–Tsai Model for Melt Pool Geometry Prediction with Implications in Additive Manufacturing of Metals3
Sequential Machine Learning Applications of Particle Packing with Large Size Variations3
Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts3
Evolution of Model-Based Materials Definitions2
A Workflow for Accelerating Multimodal Data Collection for Electrodeposited Films2
A General Materials Data Science Framework for Quantitative 2D Analysis of Particle Growth from Image Sequences2
Numerical and Experimental Characterization of Melt Pool in Laser Powder Bed Fusion of SS316l2
An Integrated Multiscale Model to Study the Marangoni Effect on Molten Pool and Microstructure Evolution2
Design Strategy for Additive Manufacturing Ti-Al-Fe Alloys with Calculation of Phase Diagram Method2
Uncertainty Quantification Framework for Predicting Material Response with Large Number of Parameters: Application to Creep Prediction in Ferritic-Martensitic Steels Using Combined Crystal Plasticity 2
Ability to Simulate Absorption and Melt Pool Dynamics for Laser Melting of Bare Aluminum Plate: Results and Insights from the 2022 Asynchronous AM-Bench Challenge2
Part Deflection Measurements of AM‑Bench IN718 3D Build Artifacts2
Design and Optimization of Manufacturing Process of Polymer Composites Through Multiscale Cure Analysis and NSGA-II2
Consistent Quantification of Precipitate Shapes and Sizes in Two and Three Dimensions Using Central Moments2
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition2
Integrated Computational Materials Engineering to Predict Dimensions for Steady-State and Transient Melt-Pool Formation in the Selective Laser Melting of Inconel 6252
The Effect of Geometry on Local Processing State in Additively Manufactured Ti-6Al-4V Lattices2
Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing2
Modeling and Optimum Design of Carbon Nanotube/Polyvinyl Alcohol Hybrid Nanofibers as Electromagnetic Interference Shielding Material2
A Common Data Dictionary and Common Data Model for Additive Manufacturing2
Investigation of the Fatigue Life Scatter for AA7075-T6 Using Crystal Plasticity Finite Element Method in the High to Very High Cycle Fatigue Regime2
Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata2
A Methodology for the Rapid Qualification of Additively Manufactured Materials Based on Pore Defect Structures2
A New Numerical-Homogenization Method to Predict the Effective Permittivity of Composite Materials2
AFRL Additive Manufacturing Modeling Series: Challenge 1, Characterization of Residual Strain Distribution in Additively-Manufactured Metal Parts Using Energy-Dispersive Diffraction2
CAROUSEL: An Open-Source Framework for High-Throughput Microstructure Simulations2
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions2
Informing Mechanical Model Development Using Lower-Dimensional Descriptions of Lattice Distortion2
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges2
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