Integrating Materials and Manufacturing Innovation

Papers
(The H4-Index of Integrating Materials and Manufacturing Innovation is 14. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Is Domain Knowledge Necessary for Machine Learning Materials Properties?34
Unsupervised Machine Learning Via Transfer Learning and k-Means Clustering to Classify Materials Image Data32
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single- and Dual-Phase Materials30
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
Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems21
Model Selection and Evaluation for Machine Learning: Deep Learning in Materials Processing21
Benchmark AFLOW Data Sets for Machine Learning18
AFRL Additive Manufacturing Modeling Series: Challenge 4, 3D Reconstruction of an IN625 High-Energy Diffraction Microscopy Sample Using Multi-modal Serial Sectioning18
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 Learning15
Microstructure Characterization and Reconstruction in Python: MCRpy15
Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis14
An Active Learning Approach for the Design of Doped LLZO Ceramic Garnets for Battery Applications14
A Harmony Search-Based Wrapper-Filter Feature Selection Approach for Microstructural Image Classification14
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