For more than a century, the double-slit experiment has been the sharpest test of what reality is made of, and of whether ...
Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...
It took 125 years, but in 2025 a team of mathematicians discovered the solution to a long-puzzling problem about the ...
As the weather grows cold this winter, you may be one of the many Americans pulling their winter jackets out of the closet.
Physicists have finally turned a long standing thought experiment into a laboratory reality, showing that electromagnetic ...
Abstract: The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents the ...