Integrating Materials and Manufacturing Innovation

Papers
(The TQCC of Integrating Materials and Manufacturing Innovation is 6. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC33
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module21
Computational Alloy Design for Process-Related Uncertainties in Powder Metallurgy20
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design19
MicroProcSim: A Software for Simulation of Microstructure Evolution19
Natural Language Processing-Driven Microscopy Ontology Development19
A Common Data Dictionary and Common Data Model for Additive Manufacturing18
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing17
A New Analysis Method for the Densification of Casting Ingots with Pore Defects Through Upsetting Deformation15
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition15
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications14
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges13
Assessment of Hot Cracking Susceptibility Through Interdendritic Feeding Simulations13
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing13
Anisotropic Phase-Field Modeling of Tricrystal Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach12
Microstructure Characterization and Reconstruction in Python: MCRpy11
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions10
3D Minimum Channel Width Distribution in a Ni-Base Superalloy10
High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction10
Data-Driven Surrogate Modeling with Microstructure-Sensitivity of Viscoplastic Creep in Grade 91 Steel10
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database10
Materials Maturity Levels: A Systematic Approach to Evaluating Materials Development9
Location-Specific Microstructure Characterization Within AM Bench 2022 Laser Tracks on Bare Nickel Alloy 718 Plates9
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks9
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition9
Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts9
Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning9
Temperature-Dependent Material Property Databases for Marine Steels—Part 5: HY-808
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy8
Crystal Elasticity Simulations of Polycrystalline Material Using Rank-One Approximation8
Consistent Quantification of Precipitate Shapes and Sizes in Two and Three Dimensions Using Central Moments8
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets8
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification8
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images8
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion8
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging7
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI7
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-807
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning7
Temperature-Dependent Material Property Database of Cast 70/30 Cu-Ni Material7
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations7
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 Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam7
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy7
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators7
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V6
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters6
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data6
Random Generation of Lattice Structures with Short-Range Order6
An Easy, Simple, and Accessible Web-based Machine Learning Platform, SimPL-ML6
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds6
Uncertainty-Informed Integrated Computational Materials Engineering Framework for Robust Design Optimization of Microstructure-Sensitive Multiaxial Fatigue Properties6
Automated Segmentation and Chord Length Distribution of Melt Pools in Complex 3D Printed Metal Artifacts6
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing6
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning6
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community6
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization6
On the Effect of Nucleation Undercooling on Phase Transformation Kinetics6
A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion6
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