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 2021-08-01 to 2025-08-01.)
ArticleCitations
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC57
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module33
Computational Alloy Design for Process-Related Uncertainties in Powder Metallurgy23
MicroProcSim: A Software for Simulation of Microstructure Evolution21
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design20
A Common Data Dictionary and Common Data Model for Additive Manufacturing19
Natural Language Processing-Driven Microscopy Ontology Development19
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition18
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials18
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing16
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications15
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges15
Assessment of Hot Cracking Susceptibility Through Interdendritic Feeding Simulations14
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing14
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database13
Microstructure Characterization and Reconstruction in Python: MCRpy13
Data-Driven Surrogate Modeling with Microstructure-Sensitivity of Viscoplastic Creep in Grade 91 Steel12
High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction12
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions11
Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts10
3D Minimum Channel Width Distribution in a Ni-Base Superalloy10
3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks10
Location-Specific Microstructure Characterization Within AM Bench 2022 Laser Tracks on Bare Nickel Alloy 718 Plates9
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy9
Crystal Elasticity Simulations of Polycrystalline Material Using Rank-One Approximation9
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion9
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images9
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition9
Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning9
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets9
Prediction of Glass Forming Ability of Bulk Metallic Glasses Using Machine Learning8
Consistent Quantification of Precipitate Shapes and Sizes in Two and Three Dimensions Using Central Moments8
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI8
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam8
Temperature-Dependent Material Property Databases for Marine Steels—Part 5: HY-808
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification8
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
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations7
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging7
Temperature-Dependent Material Property Database of Cast 70/30 Cu-Ni Material7
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy7
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators7
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds6
A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion6
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data6
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning6
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V6
An Easy, Simple, and Accessible Web-based Machine Learning Platform, SimPL-ML6
On the Effect of Nucleation Undercooling on Phase Transformation Kinetics6
Interpretable Machine Learning for Texture-Dependent Constitutive Models with Automatic Code Generation for Topological Optimization6
Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters6
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
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-806
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community6
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