3 papers
cs.LG2026
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…
physics.ins-det2024
Dataset of Tensile Properties for Sub-sized Specimens of Nuclear Structural Materials
Longze Li, John W. Merickel, Yalei Tang +4
Mechanical testing with sub-sized specimens plays an important role in the nuclear industry, facilitating tests in confined experimental spaces with lower irradiation levels and ac…
cs.LG2023
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…