Nazanin Ahmadi Daryakenari

According to our database, Nazanin Ahmadi Daryakenari authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

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

Spectral bias in physics-informed and operator learning: Analysis and mitigation guidelines.

Siavash Khodakarami, Vivek Oommen, Nazanin Ahmadi Daryakenari, Maxim Beekenkamp, George Em Karniadakis

CoRR, February, 2026

State-space models are accurate and efficient neural operators for dynamical systems.

Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis

Neural Networks, 2026

Representation meets optimization: Training PINNs and PIKANs for gray-box discovery in systems pharmacology.

Nazanin Ahmadi Daryakenari, Khemraj Shukla, George Em Karniadakis

Comput. Biol. Medicine, 2026

2025

CMINNs: Compartment model informed neural networks - Unlocking drug dynamics.

Nazanin Ahmadi Daryakenari, Shupeng Wang, George Em Karniadakis

Comput. Biol. Medicine, 2025

2024

AI-Aristotle: A physics-informed framework for systems biology gray-box identification.

Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla, George Em Karniadakis

PLoS Comput. Biol., 2024

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning.

Juan Diego Toscano, Vivek Oommen, Alan John Varghese, Zongren Zou, Nazanin Ahmadi Daryakenari, Chenxi Wu, George Em Karniadakis

CoRR, 2024

Physics-Informed Neural Networks and Extensions.

Maziar Raissi, Paris Perdikaris, Nazanin Ahmadi Daryakenari, George Em Karniadakis

CoRR, 2024