61 citations · 61 across the 2 of their papers we have counts for
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cs.LG2026
A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling
Hyeonbin Moon, Yongjin Choi, Seunghwa Ryu
Scientific machine learning (SciML) has emerged as a promising approach for accelerating simulations of complex physical systems, yet achieving physically consistent and generaliza…
cs.LG2017★ 61 cited
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction
Andre S. Yoon, Taehoon Lee, Yongsub Lim +5
This work presents a novel semi-supervised learning approach for data-driven modeling of asset failures when health status is only partially known in historical data. We combine a…