Integrating Materials and Manufacturing Innovation

Papers
(The median citation count of Integrating Materials and Manufacturing Innovation is 3. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC55
Correction: AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions47
Evolution of Model-Based Materials Definitions32
Natural Language Processing-Driven Microscopy Ontology Development31
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models29
WATMUS: Wavelet Transformation-Induced Multi-time Scaling for Accelerating Fatigue Simulations at Multiple Spatial Scales25
Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection20
Investigation of the Fatigue Life Scatter for AA7075-T6 Using Crystal Plasticity Finite Element Method in the High to Very High Cycle Fatigue Regime19
Predicting Melt Pool Dimensions for Wire-Feed Directed Energy Deposition Process18
Statistical Estimation of Strain Using Spatial Correlation Functions18
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design17
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery16
Additive Manufacturing Benchmark 2022 Subcontinuum Mesoscale Tensile Challenge (CHAL-AMB2022-04-MeTT) and Summary of Predictions16
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging15
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module15
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing15
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition14
Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata14
Design and Optimization of Manufacturing Process of Polymer Composites Through Multiscale Cure Analysis and NSGA-II13
L-PBF High-Throughput Data Pipeline Approach for Multi-modal Integration12
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI11
Computational Alloy Design for Process-Related Uncertainties in Powder Metallurgy11
Heat Source Model Development for Thermal Analysis of Laser Powder Bed Fusion Using Bayesian Optimization and Machine Learning11
Sputter-Deposited Mo Thin Films: Characterization of Grain Structure and Monte Carlo Simulations of Sputtered Atom Energies and Incidence Angles10
Automatic Detection of Dendritic Microstructure Using Computer Vision Deep Learning Models Trained with Phase Field Simulations10
Rapid Grain Segmentation of Heat-treated and Annealed LPBF Haynes 282 Using an Unsupervised Learning-Based Computer Vision Approach10
Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference10
A Workflow for Accelerating Multimodal Data Collection for Electrodeposited Films9
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning9
A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding9
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials9
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis9
A Common Data Dictionary and Common Data Model for Additive Manufacturing9
The BAREFOOT Optimization Framework9
Correction: A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion9
A Case Study of Beta-Variational Auto-encoders, Disentanglement Impacts of Input Distribution and Beta-Variation Based Upon a Computational Multi-modal Particle Packing Simulation8
Coupled Thermal Solidification Process Simulation of Sapphire Growth8
Additive Manufacturing Melt Pool Prediction and Classification via Multifidelity Gaussian Process Surrogates8
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy8
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-808
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds7
Annotating Materials Science Text: A Semi-automated Approach for Crafting Outputs with Gemini Pro7
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators7
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community7
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing7
Multi-objective Optimization-Oriented Generative Adversarial Design for Multi-principal Element Alloys7
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges7
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations7
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization6
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V6
Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants6
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters6
Illustrating an Effective Workflow for Accelerated Materials Discovery6
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications6
Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing6
Data-Driven Modeling of Mechanical Properties for 17-4 PH Stainless Steel Built by Additive Manufacturing6
A Computer Vision Approach to Evaluate Powder Flowability for Metal Additive Manufacturing5
Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives5
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification5
Discrepancy Between Crystal Plasticity Simulations and Far-Field High-Energy X-ray Diffraction Microscopy Measurements5
The Simulation of Post-Heat Treatment in Selective Laser Melting Additive Manufacturing5
A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V5
Modeling and Optimum Design of Carbon Nanotube/Polyvinyl Alcohol Hybrid Nanofibers as Electromagnetic Interference Shielding Material5
The AFRL Additive Manufacturing Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-Based Method with Direct Input from a 3D Microstructural Image5
Micromechanical Analysis of Mechanical Response for Unidirectional Fiber-Reinforced Plies5
AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description5
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
Part Deflection Measurements of AM‑Bench IN718 3D Build Artifacts5
Tempered Hardness Optimization of Martensitic Alloy Steels5
An Easy, Simple, and Accessible Web-based Machine Learning Platform, SimPL-ML5
Automated Segmentation and Chord Length Distribution of Melt Pools in Complex 3D Printed Metal Artifacts4
Study of TIG Weld Microstructure Formation in Inconel 718 Alloy Using ICME Approach4
Benchmark Sample Design for the Validation of Residual Stress Measurements by Diffraction: Insights and Practicalities4
How Well Do Large Language Models Understand Tables in Materials Science?4
Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure Through Advanced Homogenization4
A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion4
On the Effect of Nucleation Undercooling on Phase Transformation Kinetics4
High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models4
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
Constraint Active Search in Process Window Optimization for Powder Feed Directed Energy Deposition4
Temperature-Dependent Material Property Database for C63200 Nickel-Aluminum Bronze (NAB) Plate4
MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset4
Lifetime and Degradation Study of Poly(Methyl Methacrylate) via a Data-Driven Study Protocol Approach4
Anomaly Detection in Materials Digital Twins with Multiscale ICME for Additive Manufacturing4
Random Generation of Lattice Structures with Short-Range Order4
Elastic Residual Strain Measurements of 3D Additively Manufactured Builds of Nickel Alloy 718 AM Bench 2022 Artifacts Using Energy Dispersive Synchrotron X-ray Diffraction4
Microstructure Characterization and Reconstruction in Python: MCRpy3
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study3
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials3
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks3
A Data-Driven Framework to Select a Cost-Efficient Subset of Parameters to Qualify Sourced Materials3
AFRL Additive Manufacturing Modeling Challenge Series: Overview3
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing3
Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure3
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning3
The Effect of Geometry on Local Processing State in Additively Manufactured Ti-6Al-4V Lattices3
Self-Supervised Deep Hadamard Autoencoders for Treating Missing Data: A Case Study in Manufacturing3
A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models3
An Explainable Deep Learning Model Based on Multi-scale Microstructure Information for Establishing Composition–Microstructure–Property Relationship of Aluminum Alloys3
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data3
A Transformer and Random Forest Hybrid Model for the Prediction of Non-metallic Inclusions in Continuous Casting Slabs3
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures3
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