Bernoulli’s Equation is one of the cornerstones of fluid dynamics, helping us understand how fluids behave when they move ...

"We believe that general relativity only works on large or 'macroscopic' scales, but that on very short distances, or microscopic scales, it must be replaced by a quantum theory of gravity which ...

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of ...

Quantum mechanics has a reputation that precedes it. Virtually everyone who has bumped up against the quantum realm, whether ...

Maxwell’s equations of electromagnetism and the Euler equation top a poll to find the greatest equations of all time. Robert P Crease discusses the results of his reader survey First among equals – ...

Mathematical equations offer unique windows into the world. They make sense of reality and help us see things that haven't been previously noticed. So it’s no surprise that new developments in ...

While researchers have never found a wormhole in our universe, scientists often see wormholes described in the solutions to important physics equations.

It appears that we live on the knife-edge, where only the narrowest combination of values for the fundamental constants allow life, and especially conscious life, to arise.

All the tech we rely on, from cars to smartphones, was engineered using physics. You don’t need to know the science to use these things. But a well-rounded human should understand at least some of the ...

While this seems obvious in our experienced reality, the underlying laws of physics do not inherently favour a single direction. Whether time moves forward or backwards, the equations remain the same.

A new paper without peer review says physics equations follow a formula of their own. The authors say their probabilistic idea can be used to help train physics machine learning. That said, their ...

Physics-informed neural networks offer a decisive advantage here, as they are capable of efficiently solving complex equations. In the just-published study, the researchers trained two such networks.