most citedHeterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads

6 citations · 9 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CE2026

Neural topology optimization of ship structures under propulsion machinery vibrations

Shengyu Yan, Muhammad Muztahidul Hakim Zareer, Jasmin Jelovica

Ship structural vibrations contribute to noise, fatigue, and equipment damage, while dynamic-compliance topology optimization can produce pathological designs near resonance. This…

cs.CE2026

KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators

Shengyu Yan, Jasmin Jelovica

Topology optimization (TO) remains computationally intensive due to repeated finite element analysis (FEA) evaluations required at each iteration. While neural network-based surrog…

cs.NE2026

A new dual-population constrained multi-objective evolutionary optimization algorithm with repair constraint handling for structural optimization

Fardad Homafar, Jasmin Jelovica

Structural optimization problems often involve a large number of decision variables and highly non-convex feasible regions, making convergence to the true Pareto front extremely ch…

cs.LG2026

One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields

Yijing Zhou, Jasmin Jelovica

Physical simulations for intricate geometries with path-dependent constitutive models face difficulties due to the enormous computational cost they require. Recently, the emergence…

cs.LG2026

Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels

Yuecheng Cai, Jasmin Jelovica

Iterative design and optimization of large, complex structures require fast and accurate prediction of stress, displacement, and other fields. Finite element analysis (FEA) is comp…

cs.CE2025★ 3 cited

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network

Yuecheng Cai, Jasmin Jelovica

This study presents a computational framework for global local structural analysis of ship hull girders that integrates an equivalent single layer (ESL) model with a graph neural n…

cs.CE2025★ 6 cited

Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads

Yuecheng Cai, Jasmin Jelovica

Surrogate models are essential in structural analysis and optimization. We propose a heterogeneous graph representation of stiffened panels that accounts for geometrical variabilit…