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 2022-05-01 to 2026-05-01.)
ArticleCitations
A New Analysis Method for the Densification of Casting Ingots with Pore Defects Through Upsetting Deformation44
MicroProcSim: A Software for Simulation of Microstructure Evolution26
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition24
A Common Data Dictionary and Common Data Model for Additive Manufacturing24
Natural Language Processing-Driven Microscopy Ontology Development24
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC23
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing20
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design20
Computationally Efficient Prediction of Molten Pool Size in Multi-track Laser Melting via Surrogate Modeling20
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module19
Enhancing Materials Data Workflows Through Object-Oriented Design and Large Language Models17
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications17
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges16
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing16
Assessment of Hot Cracking Susceptibility Through Interdendritic Feeding Simulations15
Quantifying Thermal Model Accuracy in PBF-LB/M using Statistical Similarity Tests Against Thermographic Measurements14
Anisotropic Phase-Field Modeling of Tricrystal Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach14
Microstructure Characterization and Reconstruction in Python: MCRpy14
Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts13
3D Minimum Channel Width Distribution in a Ni-Base Superalloy13
AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions13
Blockchain-Based Security Access Control System for Sharing Squeeze Casting Process Database12
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
Materials Maturity Levels: A Systematic Approach to Evaluating Materials Development11
Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets11
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
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition11
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
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
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI9
Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging9
Physics-Informed Deep Learning for Bearing Remaining Useful Life: Adaptive Paris-Law Regularization with Gaussian Processes9
Quantitative Benchmarking of Acoustic Emission Machine Learning Frameworks for Damage Mechanism Identification9
Temperature-Dependent Material Property Database of Cast 70/30 Cu-Ni Material9
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
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds8
Equivariant Neural Networks for Controlling Dynamic Spatial Light Modulators8
Machine Learning Statistical Ultrasonic Non-destructive Prediction for Friction Stir Processed Metal8
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning8
Framework for the Generation of 3D Fiber Composite Structures from 2D Observations8
On the Prediction of Uniaxial Tensile Behavior Beyond the Yield Point of Wrought and Additively Manufactured Ti-6Al-4V8
Temperature-Dependent Material Property Databases for Marine Steels—Part 3: HSLA-807
Evaluating Thermodynamics-Based Hot-Cracking Models for Various AM Alloys7
Automated Segmentation and Chord Length Distribution of Melt Pools in Complex 3D Printed Metal Artifacts7
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community7
On the Effect of Nucleation Undercooling on Phase Transformation Kinetics7
Temperature-Dependent Material Property Database for Nickel-Aluminum Bronze (NAB) Wire-Arc Additive Components7
Uncertainty-Informed Integrated Computational Materials Engineering Framework for Robust Design Optimization of Microstructure-Sensitive Multiaxial Fatigue Properties7
Automatic Determination of the Weak-Beam Condition in Dark Field X-ray Microscopy7
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data7
A Novel Additive Manufacturing Process Metric for Predicting Spatter-Related Porosity in Laser Powder Bed Fusion7
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