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 2021-02-01 to 2025-02-01.)
ArticleCitations
WATMUS: Wavelet Transformation-Induced Multi-time Scaling for Accelerating Fatigue Simulations at Multiple Spatial Scales45
Rapid Grain Segmentation of Heat-treated and Annealed LPBF Haynes 282 Using an Unsupervised Learning-Based Computer Vision Approach41
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging30
A Common Data Dictionary and Common Data Model for Additive Manufacturing27
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing24
Predicting Melt Pool Dimensions for Wire-Feed Directed Energy Deposition Process23
Additive Manufacturing Benchmark 2022 Subcontinuum Mesoscale Tensile Challenge (CHAL-AMB2022-04-MeTT) and Summary of Predictions18
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery16
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI16
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection15
L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration15
Computational Alloy Design for Process-Related Uncertainties in Powder Metallurgy14
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC13
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module11
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition11
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models11
Statistical Estimation of Strain Using Spatial Correlation Functions11
Heat Source Model Development for Thermal Analysis of Laser Powder Bed Fusion Using Bayesian Optimization and Machine Learning10
A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding10
Investigation of the Fatigue Life Scatter for AA7075-T6 Using Crystal Plasticity Finite Element Method in the High to Very High Cycle Fatigue Regime10
Evolution of Model-Based Materials Definitions10
Design and Optimization of Manufacturing Process of Polymer Composites Through Multiscale Cure Analysis and NSGA-II10
A Workflow for Accelerating Multimodal Data Collection for Electrodeposited Films9
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design9
Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata9
Natural Language Processing-Driven Microscopy Ontology Development9
Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference9
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials9
Correction: AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions9
Sputter-Deposited Mo Thin Films: Characterization of Grain Structure and Monte Carlo Simulations of Sputtered Atom Energies and Incidence Angles8
Comparative Assessment of Physics-Based Computational Models on the NIST Benchmark Study of Molten Pool Dimensions and Microstructure for Selective Laser Melting of Inconel 6258
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges8
Data-Driven Modeling of Mechanical Properties for 17-4 PH Stainless Steel Built by Additive Manufacturing8
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-808
Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing8
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy8
A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V8
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations7
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V7
A Case Study of Beta-Variational Auto-encoders, Disentanglement Impacts of Input Distribution and Beta-Variation Based Upon a Computational Multi-modal Particle Packing Simulation7
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community7
Coupled Thermal Solidification Process Simulation of Sapphire Growth7
Multi-objective Optimization-Oriented Generative Adversarial Design for Multi-principal Element Alloys7
Annotating Materials Science Text: A Semi-automated Approach for Crafting Outputs with Gemini Pro6
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters6
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing6
Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives6
Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part I—Measurements of Spherical Indentation Stress–Strain Curves6
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications6
Part Deflection Measurements of AM‑Bench IN718 3D Build Artifacts5
Modeling and Optimum Design of Carbon Nanotube/Polyvinyl Alcohol Hybrid Nanofibers as Electromagnetic Interference Shielding Material5
Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants5
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning5
Ability to Simulate Absorption and Melt Pool Dynamics for Laser Melting of Bare Aluminum Plate: Results and Insights from the 2022 Asynchronous AM-Bench Challenge5
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates5
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds5
The BAREFOOT Optimization Framework5
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators5
Illustrating an Effective Workflow for Accelerated Materials Discovery5
The AFRL Additive Manufacturing Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-Based Method with Direct Input from a 3D Microstructural Image4
An Easy, Simple, and Accessible Web-based Machine Learning Platform, SimPL-ML4
Temperature-Dependent Material Property Database for C63200 Nickel-Aluminum Bronze (NAB) Plate4
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data4
Comparison of Full-Field Crystal Plasticity Simulations to Synchrotron Experiments: Detailed Investigation of Mispredictions4
Micromechanical Analysis of Mechanical Response for Unidirectional Fiber-Reinforced Plies4
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization4
AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description4
Discrepancy Between Crystal Plasticity Simulations and Far-Field High-Energy X-ray Diffraction Microscopy Measurements4
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis4
The Simulation of Post-Heat Treatment in Selective Laser Melting Additive Manufacturing4
Random Generation of Lattice Structures with Short-Range Order4
Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical Indentation Measurements3
Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure Through Advanced Homogenization3
A Computer Vision Approach to Evaluate Powder Flowability for Metal Additive Manufacturing3
Tempered Hardness Optimization of Martensitic Alloy Steels3
Automated Segmentation and Chord Length Distribution of Melt Pools in Complex 3D Printed Metal Artifacts3
MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset3
How Well Do Large Language Models Understand Tables in Materials Science?3
On the Effect of Nucleation Undercooling on Phase Transformation Kinetics3
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification3
Anomaly Detection in Materials Digital Twins with Multiscale ICME for Additive Manufacturing3
Self-Supervised Deep Hadamard Autoencoders for Treating Missing Data: A Case Study in Manufacturing2
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database2
An Explainable Deep Learning Model Based on Multi-scale Microstructure Information for Establishing Composition–Microstructure–Property Relationship of Aluminum Alloys2
High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models2
Lifetime and Degradation Study of Poly(Methyl Methacrylate) via a Data-Driven Study Protocol Approach2
Microstructure Characterization and Reconstruction in Python: MCRpy2
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures2
Intrinsic Dimensionality of Microstructure Data2
A Data-Driven Framework to Select a Cost-Efficient Subset of Parameters to Qualify Sourced Materials2
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing2
Benchmark Sample Design for the Validation of Residual Stress Measurements by Diffraction: Insights and Practicalities2
Study of TIG Weld Microstructure Formation in Inconel 718 Alloy Using ICME Approach2
Calcium-Treated Steel Cleanliness Prediction Using High-Dimensional Steelmaking Process Data2
Feature Engineering for Microstructure–Property Mapping in Organic Photovoltaics2
Three-Dimensional Prediction of Lack-of-Fusion Porosity Volume Fraction and Morphology for Powder Bed Fusion Additively Manufactured Ti–6Al–4V2
PRISMS-Plasticity TM: An Open-Source Rapid Texture Evolution Analysis Pipeline2
AFRL Additive Manufacturing Modeling Challenge Series: Overview2
Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing2
Elastic Residual Strain Measurements of 3D Additively Manufactured Builds of Nickel Alloy 718 AM Bench 2022 Artifacts Using Energy Dispersive Synchrotron X-ray Diffraction2
A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion2
High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction2
Model-Based Material and Process Definitions for Additive Manufactured Component Design and Qualification2
Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing2
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