2 papers
physics.flu-dyn2025
Solving Navier-Stokes Equations Using Data-free Physics-Informed Neural Networks With Hard Boundary Conditions
Ritik Pal, Soubhik Mukherjee, Urmi Dutta +1
In recent years, Physics-Informed Neural Networks (PINNs) have emerged as a powerful and robust framework for solving nonlinear differential equations across a wide range of scient…
cs.CL2025
From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning
Nishit Neema, Srinjoy Mukherjee, Sapan Shah +2
Large Language Models (LLMs) excel at general tasks but underperform in specialized domains like economics and psychology, which require deep, principled understanding. To address…