Browsing: Physics-informed neural networks

This article discusses the use of physics-informed neural networks (PINNs) as a scientific machine learning approach for modeling physical quantities. Specifically, a low-fidelity-influenced PINN…

AI has the potential to revolutionize many aspects of our lives, from electric vehicles to medical care. To make this a reality, scientists and…

A new training paradigm referred to as “gradient boosting” (GB) has been developed to significantly enhance the performance of physics informed neural networks (PINNs)…