The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid ...
Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
Abstract: In this study, a novel optimal tracker is developed for the linear quadratic tracking (LQT) problem using an output–feedback adaptive dynamic programming (ADP) framework. By leveraging the ...
1 Harrow School, London, UK. 2 Department of Chemistry, University of California, Riverside, CA, USA. 1) What are the primary drivers (e.g., cost savings, environmental concerns) and barriers (e.g., ...