Elham Kiyani

According to our database, Elham Kiyani authored at least 13 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks.

Haizhou Wen, Elham Kiyani, Gang Li, Srikanth Pilla, George Em Karniadakis, Zhen Li

CoRR, May, 2026

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks.

Anas Jnini, Elham Kiyani, Khemraj Shukla, Jorge F. Urbán, Nazanin Ahmadi Daryakenari, Johannes Muller, Marius Zeinhofer, George Em Karniadakis

CoRR, April, 2026

2025

GIMLET: Generalizable and Interpretable Model Learning through Embedded Thermodynamics.

Suguru Shiratori, Elham Kiyani, Khemraj Shukla, George Em Karniadakis

CoRR, December, 2025

Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network.

Elham Kiyani, Amit Makarand Deshpande, Madhura Limaye, Zhiwei Gao, Sai Aditya Pradeep, Srikanth Pilla, Gang Li, Zhen Li, George Em Karniadakis

CoRR, December, 2025

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation.

Elham Kiyani, Venkatesh Ananchaperumal, Ahmad Peyvan, Mahendaran Uchimali, Gang Li, George Em Karniadakis

CoRR, June, 2025

Which Optimizer Works Best for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks?

Elham Kiyani, Khemraj Shukla, Jorge F. Urbán, Jérôme Darbon, George Em Karniadakis

CoRR, January, 2025

Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures.

Elham Kiyani, Manav Manav, Nikhil Kadivar, Laura De Lorenzis, George Em Karniadakis

CoRR, January, 2025

Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance.

Michael Thompson, Hamidreza Yazdani Sarvestani, Ahmad Sohrabi-Kashani, Elham Kiyani, Enzo Filippi, Derek Aranguren van Egmond, Meysam Rahmat, Behnam Ashrafi, Mikko Karttunen

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.

Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla, Rahul Babu Koneru, Zhen Li, Luis Bravo, Anindya Ghoshal, George Em Karniadakis, Mikko Karttunen

CoRR, 2023

Designing architectured ceramics for transient thermal applications using finite element and deep learning.

Elham Kiyani, Hamidreza Yazdani Sarvestani, Hossein Ravanbakhsh, Razyeh Behbahani, Behnam Ashrafi, Meysam Rahmat, Mikko Karttunen

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.

Elham Kiyani, Khemraj Shukla, George Em Karniadakis, Mikko Karttunen

CoRR, 2023

2022

Machine Learning-Driven Process of Alumina Ceramics Laser Machining.

Razyeh Behbahani, Hamidreza Yazdani Sarvestani, Erfan Fatehi, Elham Kiyani, Behnam Ashrafi, Mikko Karttunen, Meysam Rahmat

CoRR, 2022

2014

Algebraic Interior and Separation on Linear Vector Spaces: Some Comments.

Elham Kiyani, Majid Soleimani-Damaneh

J. Optim. Theory Appl., 2014