Elham Kiyani

According to our database1, Elham Kiyani authored at least 9 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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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
Machine Learning-Driven Process of Alumina Ceramics Laser Machining.
CoRR, 2022

2014
Algebraic Interior and Separation on Linear Vector Spaces: Some Comments.
J. Optim. Theory Appl., 2014


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