Integrating Materials and Manufacturing Innovation

Papers
(The H4-Index of Integrating Materials and Manufacturing Innovation is 15. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data35
Is Domain Knowledge Necessary for Machine Learning Materials Properties?35
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials32
Effect of Particle Spreading Dynamics on Powder Bed Quality in Metal Additive Manufacturing28
Effects of Boundary Conditions on Microstructure-Sensitive Fatigue Crystal Plasticity Analysis24
Extracting Knowledge from DFT: Experimental Band Gap Predictions Through Ensemble Learning22
Model Selection and Evaluation for Machine Learning: Deep Learning in Materials Processing22
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems21
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning19
Benchmark AFLOW Data Sets for Machine Learning18
Microstructure Characterization and Reconstruction in Python: MCRpy17
Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches17
Crystal Plasticity Finite Element Modeling of Extension Twinning in WE43 Mg Alloys: Calibration and Validation16
Estimation of Local Strain Fields in Two-Phase Elastic Composite Materials Using UNet-Based Deep Learning16
An Active Learning Approach for the Design of Doped LLZO Ceramic Garnets for Battery Applications15
A Harmony Search-Based Wrapper-Filter Feature Selection Approach for Microstructural Image Classification15
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