47 citations · 107 across the 11 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 1 cited
SR-CLD: Spatially Resolved Chord Length Distributions for Statistical Description and Visualization of Non-uniform Microstructures
Sheila E. Whitman, Marat I. Latypov
This study introduces the calculation of spatially-resolved chord length distribution (SR-CLD) as an efficient approach for quantifying and visualizing non-uniform microstructures…
cond-mat.mtrl-sci2024★ 15 cited
FIP-GNN: Graph neural networks for scalable prediction of grain-level fatigue indicator parameters
Gyu-Jang Sim, Myoung-Gyu Lee, Marat I. Latypov
High-cycle fatigue is a critical performance metric of structural alloys for many applications. The high cost, time, and labor involved in experimental fatigue testing call for eff…
cond-mat.mtrl-sci2024
AnisoGNN: graph neural networks generalizing to anisotropic properties of polycrystals
Guangyu Hu, Marat I. Latypov
We present AnisoGNNs -- graph neural networks (GNNs) that generalize predictions of anisotropic properties of polycrystals in arbitrary testing directions without the need in exces…