2 papers
math.NA2026
A Bayesian Approach to Feedback Control for Hyperbolic Balance Laws
Markus Bambach, Shaoshuai Chu, Michael Herty +1
We propose a Bayesian framework for feedback boundary control of hyperbolic balance laws. The method propagates a probability distribution over feedback parameters using Lyapunov d…
physics.app-ph2024
MeltpoolINR: Predicting temperature field, melt pool geometry, and their rate of change in laser powder bed fusion
Manav Manav, Nathanael Perraudin, Yunong Lin +4
We present a data-driven, differentiable neural network model designed to learn the temperature field, its gradient, and the cooling rate, while implicitly representing the melt po…