Elham Kiyani
According to our database1,
Elham Kiyani
authored at least 9 papers
between 2014 and 2025.
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Bibliography
2025
Crack Path Prediction with Operator Learning using Discrete Particle System data Generation.
CoRR, June, 2025
Which Optimizer Works Best for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks?
CoRR, January, 2025
Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures.
CoRR, January, 2025
Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance.
Eng. Appl. Artif. Intell., 2025
2023
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs.
CoRR, 2023
Designing architectured ceramics for transient thermal applications using finite element and deep learning.
CoRR, 2023
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data.
CoRR, 2023
2022
2014
J. Optim. Theory Appl., 2014