Integrating Materials and Manufacturing Innovation

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 2021-05-01 to 2025-05-01.)
ArticleCitations
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing48
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC33
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition31
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module29
Computational Alloy Design for Process-Related Uncertainties in Powder Metallurgy26
An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models21
A Common Data Dictionary and Common Data Model for Additive Manufacturing19
Natural Language Processing-Driven Microscopy Ontology Development18
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials18
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design18
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis17
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing16
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications16
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges15
Microstructure Characterization and Reconstruction in Python: MCRpy15
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
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification14
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database14
High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction13
Data-Driven Surrogate Modeling with Microstructure-Sensitivity of Viscoplastic Creep in Grade 91 Steel13
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks12
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions12
Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning11
3D Minimum Channel Width Distribution in a Ni-Base Superalloy11
Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts11
Location-Specific Microstructure Characterization Within AM Bench 2022 Laser Tracks on Bare Nickel Alloy 718 Plates11
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition10
Crystal Elasticity Simulations of Polycrystalline Material Using Rank-One Approximation10
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets10
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion9
Consistent Quantification of Precipitate Shapes and Sizes in Two and Three Dimensions Using Central Moments9
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy9
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images9
Temperature-Dependent Material Property Databases for Marine Steels—Part 5: HY-808
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam8
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification8
Benchmark Study of Melted Track Geometries in Laser Powder Bed Fusion of Inconel 6258
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning8
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning8
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging8
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters7
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization7
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations7
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI7
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators7
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds7
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V7
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-807
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
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy7
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