Pavan Patel - Publications

“Do not ask, How to get success in whatever I do? You are trivializing action. First ask, what is worthy of being done?”

- Acharya Prasant

Journal Papers

Pavan Patel, Pranjal Prasad, and Saroj R. Yadav, Locally adaptive Physics-Informed Neural Networks for nonlinear partial differential equations, Chaos, Solitons & Fractals , Vol. 213 (2026). [Journal] [Q1]
Pavan Patel, Nagesh sahu, and Saroj R. Yadav, Hard and soft Reynolds-parameterized physics-informed neural networks to investigate momentum and heat transfer in turbine cooling, International Journal of Mechanics and Materials in Design, Vol. 22 (2026). [Journal] [Q1]
Pavan Patel, and Saroj R. Yadav, Application of physics-informed neural networks for solving water penetration problems in unsaturated soils, Engineering with Computers, Vol. 42 (2026) 9. [Journal] [Q1]
Pavan Patel, and Saroj R. Yadav, Physics informed neural networks simulation of fingering instabilities arising during immiscible and miscible multiphase flow in oil recovery processes, Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 35 (2025). [Journal] [Q1]
Pavan Patel, Saroj R. Yadav, Mohamed F. El-Amin, and Mustafa Yıldız, Prediction by machine learning in nanoparticles-based enhanced oil recovery, Mathematical Modelling and Numerical Simulation with Applications, Vol. 4 (2024) . [Journal] [Q1]

Pavan Patel, and Saroj R. Yadav, Physics-Informed Neural Networks for Exothermic Reactions in Porous Media, AI and Computational Modeling in Heat Transfer and Fluid Dynamics, Wiley-Scrivener. [Book Chapter]
Pavan Patel, Saroj R. Yadav, and Mohamed F. El-Amin, Deep Learning Approaches in Fluid Flow Simulation: Physics-Informed Neural Networks for Second-Order Porous Medium and Third-Order Korteweg–de Vries Equations, Advances and Applications of Machine Learning in Fluid Flow Problems, Taylor & Francis. [Book Chapter]
Nagesh Sahu, Pavan Patel, and Saroj R. Yadav, Analysis of MHD Boundary Layer Flow with Variable Viscosity: From Improvement of Semi-Analytical Methods to Scientific Machine Learning Predictions, Thermal Properties and Applications of Nanofluids, Wiley-Scrivener, (Accepted). [Book Chapter]