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 2022-06-01 to 2026-06-01.)
ArticleCitations
A New Analysis Method for the Densification of Casting Ingots with Pore Defects Through Upsetting Deformation45
A Common Data Dictionary and Common Data Model for Additive Manufacturing26
Natural Language Processing-Driven Microscopy Ontology Development26
MicroProcSim: A Software for Simulation of Microstructure Evolution26
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC24
Computationally Efficient Prediction of Molten Pool Size in Multi-track Laser Melting via Surrogate Modeling23
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design22
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing22
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module20
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition18
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing17
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges17
Assessment of Hot Cracking Susceptibility Through Interdendritic Feeding Simulations16
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications16
Enhancing Materials Data Workflows Through Object-Oriented Design and Large Language Models16
Anisotropic Phase-Field Modeling of Tricrystal Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach15
Quantifying Thermal Model Accuracy in PBF-LB/M using Statistical Similarity Tests Against Thermographic Measurements14
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database13
Microstructure Characterization and Reconstruction in Python: MCRpy13
Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts13
3D Minimum Channel Width Distribution in a Ni-Base Superalloy12
Materials Maturity Levels: A Systematic Approach to Evaluating Materials Development12
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 Predictions12
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition11
Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning11
Location-Specific Microstructure Characterization Within AM Bench 2022 Laser Tracks on Bare Nickel Alloy 718 Plates11
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification10
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images10
A Novel Methodology for the Thermographic Cooling Rate Measurement during Powder Bed Fusion of Metals Using a Laser Beam10
On the Fidelity of the Scaling Laws for Melt Pool Depth Analysis During Laser Powder Bed Fusion10
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets10
Temperature-Dependent Material Property Databases for Marine Steels—Part 5: HY-8010
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy10
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging9
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI9
Temperature-Dependent Material Property Database of Cast 70/30 Cu-Ni Material9
Physics-Informed Deep Learning for Bearing Remaining Useful Life: Adaptive Paris-Law Regularization with Gaussian Processes9
Machine Learning Statistical Ultrasonic Non-destructive Prediction for Friction Stir Processed Metal9
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds8
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V8
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
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy8
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators8
Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloys from Scientific Publications Using Large Language Models8
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community8
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations8
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning7
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data7
On the Effect of Nucleation Undercooling on Phase Transformation Kinetics7
Evaluating Thermodynamics-Based Hot-Cracking Models for Various AM Alloys7
A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion7
Automated Segmentation and Chord Length Distribution of Melt Pools in Complex 3D Printed Metal Artifacts7
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-807
Uncertainty-Informed Integrated Computational Materials Engineering Framework for Robust Design Optimization of Microstructure-Sensitive Multiaxial Fatigue Properties7
Temperature-Dependent Material Property Database for Nickel-Aluminum Bronze (NAB) Wire-Arc Additive Components7
Random Generation of Lattice Structures with Short-Range Order7
Research Progress on Process Optimization of Thermal-Sprayed Iron-Based Amorphous Coatings6
Workflow for Robotic Point-of-Care Manufacturing of Personalized Maxillofacial Graft Fixation Hardware6
3D Reconstruction of a High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning with High-Precision EBSD and Surface Profilometry6
A Dual-Model Approach to Industrial Safety: Computer Vision for PPE Compliance and Hazard-Zone Monitoring in Steel Production6
Numerical and Experimental Characterization of Melt Pool in Laser Powder Bed Fusion of SS316l6
Revolutionizing Scientific Figure Decoding: Benchmarking LLM Data Extraction Performance6
Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing6
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials6
Integration of Segregation Models for Continuous Casting6
Evolution of Model-Based Materials Definitions5
Optimization of Process Parameters for Surface Roughness and Milling Power of AL7075 CNC Milling Based on a Hybrid Multi-Objective Particle Swarm Optimization Integrating Whale Optimization Algorithm5
Review of Material Modeling and Digitalization in Industry: Barriers and Perspectives5
Online Measurement for Parameter Discovery in Fused Filament Fabrication5
Validity of Thermal Simulation Models for Different Laser Beam Shapes in Bead-on-Plate Melting5
Tackling Structured Knowledge Extraction from Polymer Nanocomposite Literature as an NER/RE Task with seq2seq5
Heterogeneous Deformation of As-Built Nickel Alloy 625 with Checkered Columnar Grains at Different Strain Rates (AMB2022-04)5
Automatic Detection of Dendritic Microstructure Using Computer Vision Deep Learning Models Trained with Phase Field Simulations5
Materials Informatics Tools to Analyze Crystal Structures: Crystal Structure of the Novel Ternary Indide ErCo2In5
Temperature-Dependent Material Property Databases for Nickel-Aluminum Bronze, HY-80 and HY-100 Steels5
Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference4
Part Deflection Measurements of AM‑Bench IN718 3D Build Artifacts4
Coupled Process Modeling of Flow and Transport Phenomena in LCM Processing4
Lifetime and Degradation Study of Poly(Methyl Methacrylate) via a Data-Driven Study Protocol Approach4
Machine Learning Prediction and Experimental Validation of Externally Solidified Crystal Formation in Aluminum Die Casting Process4
Model-Based Material and Process Definitions for Additive Manufactured Component Design and Qualification4
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
Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives4
Correction: AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions4
Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys4
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study4
DRAGON: A Tool for Extracting Quantitative Data from Pole Figure Representations of Crystallographic Texture in Literature4
Data-Efficient Inverse Design of Spinodoid Metamaterials4
Additive Manufacturing Benchmark 2022 Subcontinuum Mesoscale Tensile Challenge (CHAL-AMB2022-04-MeTT) and Summary of Predictions4
Hybrid Pellet–Filament Co-extrusion for Customizing Flexibility and Strength in 3D-Printed Parts4
A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V4
Study on Molten Pool Imaging and Weld Bead Formation Monitoring in the CMT-WAAM Process of Magnesium Alloy4
High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models4
A Parametric, Data-Driven, Non-Intrusive Reduced-Order Model Framework for Crystal Plasticity Simulations of Voids4
MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset4
Machine Learning of Impact Behavior in Cold Spray of Similar and Dissimilar Metals3
Artificial Intelligence and Statistical Mapping Applied to Additive Manufacturing Toolpath Optimization in Wire-Arc DED3
Temperature-Dependent Material Property Databases for Marine Steels—Part 6: HY-1003
How Well Do Large Language Models Understand Tables in Materials Science?3
Application of Integrated Computational Materials Engineering (ICME) Tools for Improving Fracture Toughness on ERW Line Pipe3
CAROUSEL: An Open-Source Framework for High-Throughput Microstructure Simulations3
Emerging Opportunities in Distributed Manufacturing: Results and Analysis of an Expert Study3
Correlative X-ray Computed Tomography and Optical Microscopy Serial Sectioning Data of Additive Manufactured Ti-6Al-4V3
Study of TIG Weld Microstructure Formation in Inconel 718 Alloy Using ICME Approach3
An Integrated Multiscale Model to Study the Marangoni Effect on Molten Pool and Microstructure Evolution3
A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems3
Correction: Physics-Informed Data-Driven Determination of Printability Maps of Industrial Alloys for Laser Powder Bed Fusion Process with Understandings from Numerical Modeling3
Automatic and Rapid Measurement in Artificial Intelligence-Aided Microstructure Analysis: A Deep Learning Approach Applied to AlSi9 Alloys3
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