Published
- Mahyar Jahani-nasab, and Mohamad Ali Bijarchi. "Revising recurrent neural networks to eliminate numerical derivatives in forming Physics-Informed loss terms with respect to time" Computational Mechanics (2025).
- Mahyar Jahani-nasab, Bijarchi Mohammad Ali, Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge. Sci Rep 14, 23836 (2024).
- Mahyar Jahaninasab, Ehsan Taheran, S. Alireza Zarabadi, Mohammadreza Aghaei, and Ali Rajabpour. 2023. "A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers" Energies 16, no. 13: 5185.
- Mirmahmoud Seyedi, Mohammad Mahdi Dodangeh, Mahyar Jahani-nasab, Mohamad Ali Bijarchi, Mohammad Behshad Shafii "Optimization of Heat Transfer and Pressure Drop in a Corrugated Channel Using Pattern Search and Neural Network with Different Arc Configurations for a Turbulent Flow Applied Thermal Engineering 273 (2025)"
- Rezaeian, Mohsen, Yaser Bahari, Davood Bandi, Arash Montazeri, Mahyar Jahaninasab, and Ali Rajabpour. "Thermal conductivity of boronated-holey graphene under mechanical strain: Insights from molecular dynamics." Physica B: Condensed Matter 693 (2024): 416400.