AI techniques excel at solving complex equations in physics, especially inverse problems

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

What if the Universe Remembers Everything? New Theory Rewrites the Rules of Physics

What if the universe remembers? A bold new framework proposes that spacetime acts as a quantum memory. For over a hundred ...
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Physicists Find A Way Around Heisenberg's Uncertainty Principle, One Of The Most Frustrating Concepts In Physics

"With this, we can detect very tiny changes in both position and momentum at once, beyond the limit of any classical sensor," the authors explained.

Isack Hadjar interview: ‘It would be scary being Max’s No 2, but bring it on’

Racing Bulls’ impressive rookie talks quantum physics, how smart Nico Rosberg was and potentially racing at Red Bull in 2026 ...
IEEE

Adversarial and Self-Adaptive Domain Decomposition Physics-Informed Neural Networks (PINNs) for High order Differential Equations with Discontinuities

Abstract: The technique of solving differential equations using Physics-Informed Neural Networks (PINNs) has received extensive attention and application. However, employing neural networks with ...