Multi-task learning surrogate model for rapid prediction of negative tone development metrics
A high-speed, physics-aware multi-task learning (MTL) surrogate model for NTD simulation that achieves exceptional prediction accuracy, demonstrating a coefficient of determination (R2) exceeding 0.98 for all spatial dimensions, while accelerating the simulations by over 105 times compared to the rigorous model.