66 citations · 137 across the 16 of their papers we have counts for
6 papers · 1 filter
Machine Learning-based Correlation of Charpy Impact Properties Between Sub-sized and Standard-sized Specimens for Nuclear Structural Materials
Yugandhar Kasala Sreenivasulu, Isshu Lee, John W. Merickel +5
Reliable correlations of Charpy impact test results between sub-sized and full-sized specimens are essential for structural integrity assessments, particularly in nuclear applicati…
GCSAM: Gradient Centralized Sharpness Aware Minimization
Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang +1
The generalization performance of deep neural networks (DNNs) is a critical factor in achieving robust model behavior on unseen data. Recent studies have highlighted the importance…
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning
Jiang Chang, Deekshith Basvoju, Aleksandar Vakanski +2
Recent advancements in machine learning-based methods have demonstrated great potential for improved property prediction in material science. However, reliable estimation of the co…
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir +1
The application of machine learning methods to analyze changes in gene expression patterns has recently emerged as a powerful approach in cancer research, enhancing our understandi…
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
Longze Li, Jiang Chang, Aleksandar Vakanski +3
With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted…
Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
Mohammad Karimzadeh, Deekshith Basvoju, Aleksandar Vakanski +3
Additive Manufacturing (AM) is a transformative manufacturing technology enabling direct fabrication of complex parts layer-be-layer from 3D modeling data. Among AM applications, t…