Abstract: In this paper, a physics-informed neural network (PINN) is proposed to solve 2D magneto-quasi-static (MQS) problems in time domain. Instead of discretization or interpolation in space and ...

While catastrophic safety failures must never be tolerated, meaningful firearms training for law enforcement often happens ...

The question of how gravity interacts with the quantum world has long perplexed physicists, but a non-quantum theory of space ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...