Physicists use the displacement formula to find an object's change in position. It sounds simple, but calculating displacement can quickly get complicated. Let's break it down using some solved ...

Abstract: To address the high cost and complexity of displacement sensors in magnetic bearing systems, a prediction model for rotor displacement based on a physics-informed neural network (PINN) with ...

The film discusses the evolution of navigation and the principles of buoyancy, stability, and propulsion in watercraft. It explains how objects float based on the displacement of water and the balance ...

Abstract: This paper proposes a physics-constrained neural network (PCNN) framework to model displacement damage-induced degradation in AlGaN/GaN HEMTs. The architecture combines feed-forward neural ...