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 2021-08-01 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
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing14
Assessment of Hot Cracking Susceptibility Through Interdendritic Feeding Simulations14
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database13
Microstructure Characterization and Reconstruction in Python: MCRpy13
High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction12
Data-Driven Surrogate Modeling with Microstructure-Sensitivity of Viscoplastic Creep in Grade 91 Steel12
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
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
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
Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing5
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning5
3D Reconstruction of a High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning with High-Precision EBSD and Surface Profilometry5
Heterogeneous Deformation of As-Built Nickel Alloy 625 with Checkered Columnar Grains at Different Strain Rates (AMB2022-04)5
A Bayesian Approach to the Eagar–Tsai Model for Melt Pool Geometry Prediction with Implications in Additive Manufacturing of Metals5
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials5
Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing5
Workflow for Robotic Point-of-Care Manufacturing of Personalized Maxillofacial Graft Fixation Hardware5
Temperature-Dependent Material Property Databases for Nickel-Aluminum Bronze, HY-80 and HY-100 Steels5
Numerical and Experimental Characterization of Melt Pool in Laser Powder Bed Fusion of SS316l5
Random Generation of Lattice Structures with Short-Range Order5
Data Mining and Visualization of High-Dimensional ICME Data for Additive Manufacturing5
Research Progress on Process Optimization of Thermal-Sprayed Iron-Based Amorphous Coatings5
XtalMesh Toolkit: High-Fidelity Mesh Generation of Polycrystals5
Tackling Structured Knowledge Extraction from Polymer Nanocomposite Literature as an NER/RE Task with seq2seq5
Part Deflection Measurements of AM‑Bench IN718 3D Build Artifacts4
Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing4
Validity of Thermal Simulation Models for Different Laser Beam Shapes in Bead-on-Plate Melting4
Evolution of Model-Based Materials Definitions4
A Machine Learning Strategy for Race-Tracking Detection During Manufacturing of Composites by Liquid Moulding4
Heat Source Model Development for Thermal Analysis of Laser Powder Bed Fusion Using Bayesian Optimization and Machine Learning4
Ability to Simulate Absorption and Melt Pool Dynamics for Laser Melting of Bare Aluminum Plate: Results and Insights from the 2022 Asynchronous AM-Bench Challenge4
Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference4
Time-Resolved Geometric Feature Tracking Elucidates Laser-Induced Keyhole Dynamics4
Review of Material Modeling and Digitalization in Industry: Barriers and Perspectives4
Correction: AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions4
Materials Informatics Tools to Analyze Crystal Structures: Crystal Structure of the Novel Ternary Indide ErCo2In4
A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V4
Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives4
Advanced Acquisition Strategies for Lab-Based Diffraction Contrast Tomography4
Online Measurement for Parameter Discovery in Fused Filament Fabrication4
Automatic Detection of Dendritic Microstructure Using Computer Vision Deep Learning Models Trained with Phase Field Simulations4
Additive Manufacturing Benchmark 2022 Subcontinuum Mesoscale Tensile Challenge (CHAL-AMB2022-04-MeTT) and Summary of Predictions4
Emerging Opportunities in Distributed Manufacturing: Results and Analysis of an Expert Study3
Lifetime and Degradation Study of Poly(Methyl Methacrylate) via a Data-Driven Study Protocol Approach3
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures3
3D Non-Destructive Characterization of Electrical Steels for Quantitative Texture Analysis with Lab-Based X-ray Diffraction Contrast Tomography3
An Integrated Multiscale Model to Study the Marangoni Effect on Molten Pool and Microstructure Evolution3
CAROUSEL: An Open-Source Framework for High-Throughput Microstructure Simulations3
MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset3
Model-Based Material and Process Definitions for Additive Manufactured Component Design and Qualification3
DRAGON: A Tool for Extracting Quantitative Data from Pole Figure Representations of Crystallographic Texture in Literature3
Temperature-Dependent Material Property Databases for Marine Steels—Part 6: HY-1003
Correlative X-ray Computed Tomography and Optical Microscopy Serial Sectioning Data of Additive Manufactured Ti-6Al-4V3
High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models3
A Parametric, Data-Driven, Non-Intrusive Reduced-Order Model Framework for Crystal Plasticity Simulations of Voids3
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study3
A Numerical Approach to Model Microstructure Evolution for NiTi Shape Memory Alloy in Laser Powder Bed Fusion Additive Manufacturing3
A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems3
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