Integrating Materials and Manufacturing Innovation

Papers
(The H4-Index of Integrating Materials and Manufacturing Innovation is 17. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
A New Analysis Method for the Densification of Casting Ingots with Pore Defects Through Upsetting Deformation46
A Common Data Dictionary and Common Data Model for Additive Manufacturing29
VAMPYR: A MATLAB-Based Toolset Leveraging MTEX for Automating VPSC27
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module26
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing25
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design24
Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition23
Computationally Efficient Prediction of Molten Pool Size in Multi-track Laser Melting via Surrogate Modeling22
Enhancing Materials Data Workflows Through Object-Oriented Design and Large Language Models20
Natural Language Processing-Driven Microscopy Ontology Development20
New Paradigms in Model Based Materials Definitions for Titanium Alloys in Aerospace Applications20
MicroProcSim: A Software for Simulation of Microstructure Evolution20
Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing19
Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges19
Anisotropic Phase-Field Modeling of Tricrystal Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach18
Assessment of Hot Cracking Susceptibility Through Interdendritic Feeding Simulations18
Quantifying Thermal Model Accuracy in PBF-LB/M using Statistical Similarity Tests Against Thermographic Measurements17
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