3 papers
cs.LG2026
A Data-Free Physics-Informed Neural Operator for Level-Set Interface Advection
Muhammad Akbar Khan
Operators for interfacial problems are trained on reference solutions produced by the solver they are intended to replace. This work develops a data-free physics-informed neural op…
physics.flu-dyn2026
SDF-Aware Weighting: Adaptive Eikonal Regularisation for Three-Dimensional Level-Set Physics-Informed Neural Networks
Muhammad Akbar Khan
Adaptive loss-balancing schemes for physics-informed neural networks rest on a premise that every residual should be driven to zero. For level-set advection with an eikonal regular…
cs.LG2026
A Physics-Informed Neural Operator for Thermal Ranking of Low-Cost Wall Materials in Hot-Dry Climates
Muhammad Akbar Khan, Fahim Raees, Ubaida Fatima
Identifying cost-effective indigenous building materials that minimise heat penetration through walls is critical for indoor thermal comfort in low-income rural housing in hot-dry…